[MUH] Bootstrap muh toolchain — extract/parse/gen_yaml/gen_patch + baseline.muh

Pipeline:
  1. extract.py: Parses all 26 CCCL tuning_*.cuh → 26 YAML schemas in muh/schema/
  2. parse.py: .muh file parser with extends-inheritance + schema validation
  3. gen_yaml.py: .muh → computility-run.yaml (verified: matches competition reference)
  4. gen_patch.py: .muh → vllm kernel unified diff patches (6 algorithm mappings)
  5. baseline.muh: Competition reference config, all tuning values pending BI-V100 benchmarks

Schemas extracted:
  26 algorithms, 8-19 params each, SM75/80/90/100 reference tunings
  Priority mapping: reduce→attention, topk→sampling, scan→paged_attention,
  transform→activations, batch_memcpy→KV_cache, for→RoPE

Tested: extract→parse→validate→gen_yaml→gen_patch full pipeline passes
This commit is contained in:
dylanyunlon
2026-07-30 10:39:06 +00:00
parent 70e80c5810
commit 9b21a13119
33 changed files with 4702 additions and 0 deletions

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muh/__pycache__/

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# baseline.muh — Competition reference configuration
# Corresponds to: dev.modelhub.org.cn EngineX-Iluvatar/enginex-vllm-bi100-qwen36
#
# This is the starting point. All tuning values are pending BI-V100 benchmarks.
# Child .muh files use 'extends: baseline.muh' to override specific algorithms.
# --- Hardware description ---
hardware:
name: Iluvatar-BI-V100-50c-200G
gpu_count: 4
# These need to be confirmed on actual hardware:
warp_size: 32
max_threads_per_block: 1024
max_shared_memory_per_block: 49152
max_registers_per_thread: 255
l2_cache_size_bytes: 6291456
memory_bandwidth_gbps: 900
compute_capability: iluvatar_bi100
# --- vllm launch configuration ---
# Maps directly to computility-run.yaml command
vllm:
model_path: /model
served_model_name: llm
max_model_len: 100000
gpu_memory_utilization: 0.9
tensor_parallel: 4
max_num_seqs: 1
max_num_batched_tokens: 8192
max_seq_len_to_capture: 32768
trust_remote_code: true
disable_log_requests: true
disable_frontend_multiprocessing: true
enable_chunked_prefill: true
enable_auto_tool_choice: true
tool_call_parser: qwen3_coder
reasoning_parser: qwen3
enable_prefix_caching: true
# --- Concurrency ---
concurrency: 1
# --- Environment ---
env:
VLLM_ENGINE_ITERATION_TIMEOUT_S: 3600
# --- Tuning overrides (per CCCL algorithm) ---
# Each key corresponds to a tuning_*.cuh schema in muh/schema/
# Values are TBD until we run benchmarks on BI-V100
#
# Priority order (by competition score impact):
# 1. reduce — attention reduction (Output TPS × 16.796)
# 2. topk — sampling top-k/top-p (Output TPS × 16.796)
# 3. scan — prefix scan in paged attention
# 4. transform — activation kernels (SiLU, GELU)
# 5. batch_memcpy — KV cache management (Cache TPS × 0.56)
# 6. for — RoPE position encoding
tuning:
reduce:
_priority: P0
_vllm_impact: attention_reduction
_score_weight: Output TPS × 16.796
# CCCL SM90 reference: threads=128, items=24, vec_size=4
# CCCL SM100 reference: threads varies by accum_size
threads_per_block: null
items_per_thread: null
vec_size: null
topk:
_priority: P0
_vllm_impact: sampling_decode
_score_weight: Output TPS × 16.796
# CCCL reference: threads=512, items=4, bits_per_pass=11
threads_per_block: null
items_per_thread: null
bits_per_pass: null
scan:
_priority: P0
_vllm_impact: paged_attention_prefix_scan
_score_weight: Input TPS × 2.799
# CCCL SM90 lookback: threads=128, items=24, delay=fixed(688, 1140) for float32
# CCCL SM100 lookback: threads=384, items=22, delay=exponential_backon(1904, 830)
# CCCL SM100 lookahead: warps=4, items=80-1, lookahead_items=3
threads_per_block: null
items_per_thread: null
load_algorithm: null
store_algorithm: null
scan_algorithm: null
transform:
_priority: P1
_vllm_impact: activation_elementwise
_score_weight: Output TPS × 16.796
threads_per_block: null
items_per_thread: null
batch_memcpy:
_priority: P1
_vllm_impact: kv_cache_copy
_score_weight: Cache TPS × 0.56
threads_per_block: null
for:
_priority: P2
_vllm_impact: rope_position_encoding
threads_per_block: null
items_per_thread: null
radix_sort:
_priority: P2
_vllm_impact: beam_search_token_sort
threads_per_block: null
items_per_thread: null
radix_bits: null
merge:
_priority: P2
_vllm_impact: sequence_merging
threads_per_block: null
items_per_thread: null

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#!/usr/bin/env python3
"""muh/extract.py — Extract CCCL tuning parameter spaces into muh/schema/*.yaml
Reads cccl_upstream/cub/cub/device/dispatch/tuning/tuning_*.cuh,
parses policy struct fields and SM-specific tuning values,
outputs one YAML file per algorithm under muh/schema/.
Usage:
python3 muh/extract.py [--cccl-root cccl_upstream] [--out-dir muh/schema]
"""
import re
import os
import sys
import glob
import argparse
from pathlib import Path
from collections import OrderedDict
# --- Enum value sets (from CCCL headers) ---
BLOCK_LOAD_ALGORITHMS = [
"BLOCK_LOAD_DIRECT",
"BLOCK_LOAD_VECTORIZE",
"BLOCK_LOAD_TRANSPOSE",
"BLOCK_LOAD_WARP_TRANSPOSE",
"BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED",
"BLOCK_LOAD_STRIPED",
]
BLOCK_STORE_ALGORITHMS = [
"BLOCK_STORE_DIRECT",
"BLOCK_STORE_WARP_TRANSPOSE",
"BLOCK_STORE_WARP_TRANSPOSE_TIMESLICED",
"BLOCK_STORE_STRIPED",
]
BLOCK_REDUCE_ALGORITHMS = [
"BLOCK_REDUCE_RAKING",
"BLOCK_REDUCE_RAKING_COMMUTATIVE_ONLY",
"BLOCK_REDUCE_WARP_REDUCTIONS",
]
BLOCK_SCAN_ALGORITHMS = [
"BLOCK_SCAN_RAKING",
"BLOCK_SCAN_RAKING_MEMOIZE",
"BLOCK_SCAN_WARP_SCANS",
]
CACHE_LOAD_MODIFIERS = [
"LOAD_DEFAULT",
"LOAD_CA",
"LOAD_CG",
"LOAD_CS",
"LOAD_CV",
"LOAD_LDG",
]
LOOKBACK_DELAY_ALGORITHMS = [
"no_delay",
"fixed_delay",
"exponential_backoff",
"exponential_backoff_jitter",
"exponential_backoff_jitter_window",
"exponential_backon_jitter_window",
"exponential_backon_jitter",
"exponential_backon",
]
# --- Field type → range/enum mapping ---
FIELD_TYPES = {
"threads_per_block": {"type": "int", "range": [32, 1024], "step": 32},
"items_per_thread": {"type": "int", "range": [1, 32], "step": 1},
"vec_size": {"type": "int", "range": [1, 8], "step": 1},
"bits_per_pass": {"type": "int", "range": [4, 11], "step": 1},
"radix_bits": {"type": "int", "range": [4, 8], "step": 1},
"load_algorithm": {"type": "enum", "values": BLOCK_LOAD_ALGORITHMS},
"store_algorithm": {"type": "enum", "values": BLOCK_STORE_ALGORITHMS},
"reduce_algorithm": {"type": "enum", "values": BLOCK_REDUCE_ALGORITHMS},
"scan_algorithm": {"type": "enum", "values": BLOCK_SCAN_ALGORITHMS},
"load_modifier": {"type": "enum", "values": CACHE_LOAD_MODIFIERS},
"lookback_delay.kind": {"type": "enum", "values": LOOKBACK_DELAY_ALGORITHMS},
"lookback_delay.delay": {"type": "int", "range": [0, 2000], "step": 50},
"lookback_delay.l2_write_latency": {"type": "int", "range": [0, 2000], "step": 50},
"reduce_and_scan_warps": {"type": "int", "range": [1, 8], "step": 1},
"lookahead_items_per_thread": {"type": "int", "range": [1, 16], "step": 1},
}
def extract_policy_fields(content, filename):
"""Extract policy struct field names from a tuning file."""
fields = []
# Match lines like: int threads_per_block; or BlockLoadAlgorithm load_algorithm;
pattern = re.compile(
r'^\s+(?:int|BlockLoadAlgorithm|BlockStoreAlgorithm|BlockReduceAlgorithm|'
r'BlockScanAlgorithm|CacheLoadModifier|LookbackDelayPolicy)\s+'
r'(\w+)\s*[;=]',
re.MULTILINE
)
for m in pattern.finditer(content):
field = m.group(1)
if field not in fields:
fields.append(field)
return fields
def extract_sm_tunings(content):
"""Extract SM-specific tuning values from static constexpr definitions."""
tunings = {}
# Match patterns like: sm80_tuning, sm90_tuning, sm100_tuning
sm_pattern = re.compile(r'struct\s+sm(\d+)_tuning')
for m in sm_pattern.finditer(content):
sm = int(m.group(1))
if sm not in tunings:
tunings[sm] = []
# Extract actual parameter values from constexpr definitions
# Pattern: static constexpr int threads = 512;
blocks = re.split(r'(?=struct\s+sm\d+_tuning)', content)
for block in blocks:
sm_m = re.match(r'struct\s+sm(\d+)_tuning', block)
if not sm_m:
continue
sm = int(sm_m.group(1))
vals = {}
for line in block.split('\n'):
# int values
m = re.search(r'static\s+constexpr\s+int\s+(\w+)\s*=\s*(\d+)', line)
if m:
vals[m.group(1)] = int(m.group(2))
# enum values
m = re.search(r'static\s+constexpr\s+(?:BlockLoadAlgorithm|BlockStoreAlgorithm|CacheLoadModifier)\s+(\w+)\s*=\s*(\w+)', line)
if m:
vals[m.group(1)] = m.group(2)
if vals:
tunings.setdefault(sm, []).append(vals)
return tunings
def extract_inline_tunings(content):
"""Extract inline tuning values from make_mem_scaled_lookback_scan_policy calls and similar."""
inline = []
# Pattern: threads_per_block, items_per_thread in constructor-style calls
pattern = re.compile(
r'(?:topk_policy|ReducePassPolicy|ScanLookbackPolicy)\s*\{'
r'\s*(\d+)\s*,\s*(\d+)',
re.MULTILINE
)
for m in pattern.finditer(content):
inline.append({
"threads_per_block": int(m.group(1)),
"items_per_thread": int(m.group(2)),
})
return inline
def algo_name_from_filename(filename):
"""tuning_topk.cuh → topk"""
base = os.path.basename(filename)
return base.replace("tuning_", "").replace(".cuh", "")
def build_schema(algo, fields, sm_tunings, inline_tunings):
"""Build YAML-serializable schema dict for one algorithm."""
schema = OrderedDict()
schema["algorithm"] = algo
schema["source"] = f"cub/cub/device/dispatch/tuning/tuning_{algo}.cuh"
# Parameter space
params = OrderedDict()
for field in fields:
if field in FIELD_TYPES:
params[field] = dict(FIELD_TYPES[field])
elif field == "lookback_delay":
# Expand to sub-fields
for sub in ["lookback_delay.kind", "lookback_delay.delay", "lookback_delay.l2_write_latency"]:
params[sub] = dict(FIELD_TYPES[sub])
else:
params[field] = {"type": "int", "range": [1, 1024], "step": 1, "note": "unknown_range"}
schema["parameters"] = dict(params)
# Known SM tunings (for reference when tuning BI-V100)
if sm_tunings:
ref = OrderedDict()
for sm, vals_list in sorted(sm_tunings.items()):
ref[f"sm{sm}"] = vals_list
schema["reference_tunings"] = dict(ref)
# BI-V100 placeholder
schema["bi_v100"] = {
"status": "pending_benchmark",
"note": "Run muh benchmark on Iluvatar BI-V100 to fill these values",
"threads_per_block": "TBD",
"items_per_thread": "TBD",
}
return schema
def yaml_dump(data, indent=0):
"""Simple YAML serializer (no dependency on pyyaml)."""
lines = []
prefix = " " * indent
if isinstance(data, dict):
for k, v in data.items():
if isinstance(v, (dict, list)):
lines.append(f"{prefix}{k}:")
lines.append(yaml_dump(v, indent + 1))
else:
lines.append(f"{prefix}{k}: {v}")
elif isinstance(data, list):
for item in data:
if isinstance(item, dict):
lines.append(f"{prefix}-")
lines.append(yaml_dump(item, indent + 1))
else:
lines.append(f"{prefix}- {item}")
else:
lines.append(f"{prefix}{data}")
return "\n".join(lines)
def main():
parser = argparse.ArgumentParser(description="Extract CCCL tuning params to muh schema")
parser.add_argument("--cccl-root", default="cccl_upstream",
help="Path to CCCL root (default: cccl_upstream)")
parser.add_argument("--out-dir", default="muh/schema",
help="Output directory for YAML schemas (default: muh/schema)")
args = parser.parse_args()
tuning_dir = os.path.join(args.cccl_root, "cub", "cub", "device", "dispatch", "tuning")
out_dir = args.out_dir
os.makedirs(out_dir, exist_ok=True)
tuning_files = sorted(glob.glob(os.path.join(tuning_dir, "tuning_*.cuh")))
if not tuning_files:
print(f"ERROR: No tuning_*.cuh files found in {tuning_dir}", file=sys.stderr)
sys.exit(1)
print(f"Found {len(tuning_files)} tuning files in {tuning_dir}")
all_algos = []
for filepath in tuning_files:
if os.path.basename(filepath) == "common.cuh":
continue
with open(filepath, "r") as f:
content = f.read()
algo = algo_name_from_filename(filepath)
fields = extract_policy_fields(content, filepath)
sm_tunings = extract_sm_tunings(content)
inline_tunings = extract_inline_tunings(content)
schema = build_schema(algo, fields, sm_tunings, inline_tunings)
out_path = os.path.join(out_dir, f"{algo}.yaml")
with open(out_path, "w") as f:
f.write(f"# muh schema for {algo}\n")
f.write(f"# Auto-extracted from {schema['source']}\n")
f.write(f"# Generated by muh/extract.py\n\n")
f.write(yaml_dump(dict(schema)))
f.write("\n")
all_algos.append(algo)
print(f" {algo}: {len(fields)} params, {len(sm_tunings)} SM tunings → {out_path}")
# Write index
index_path = os.path.join(out_dir, "_index.yaml")
with open(index_path, "w") as f:
f.write("# muh schema index — all extracted CCCL tuning algorithms\n\n")
f.write("algorithms:\n")
for algo in all_algos:
f.write(f" - {algo}\n")
f.write(f"\ntotal: {len(all_algos)}\n")
f.write(f"source: cccl_upstream/cub/cub/device/dispatch/tuning/\n")
print(f"\nDone: {len(all_algos)} schemas → {out_dir}/")
print(f"Index: {index_path}")
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""muh/gen_patch.py — Generate vllm kernel patches from .muh tuning configuration
Given a .muh file with tuning overrides for BI-V100, generates unified diff
patches that can be applied to the vllm source tree to inject optimized
kernel parameters.
The key insight: vllm's CUDA kernels (attention, sampling, layernorm) have
hardcoded launch configs. This script generates patches that replace those
hardcodes with values tuned for Iluvatar BI-V100 via CCCL benchmark data.
Usage:
python3 muh/gen_patch.py baseline.muh [-o patches/] [--vllm-root /path/to/vllm]
"""
import os
import sys
import argparse
from datetime import datetime
sys.path.insert(0, os.path.dirname(__file__))
from parse import load_muh
# --- Kernel location mapping ---
# Maps CCCL algorithm names to vllm source files and the specific
# constants/defines that control kernel launch parameters.
VLLM_KERNEL_MAP = {
"reduce": {
"description": "Attention score reduction in multi-head attention",
"files": [
"csrc/attention/attention_kernels.cu",
"csrc/attention/paged_attention_v2.cu",
],
"params": {
"threads_per_block": {
"pattern": "NUM_THREADS",
"default": 128,
"locations": ["#define NUM_THREADS 128"],
},
"items_per_thread": {
"pattern": "NUM_ITEMS_PER_THREAD",
"default": 8,
},
"vec_size": {
"pattern": "VEC_SIZE",
"default": 4,
},
},
},
"topk": {
"description": "Top-k / top-p sampling in decode stage",
"files": [
"csrc/sampling/sampling_kernels.cu",
],
"params": {
"threads_per_block": {
"pattern": "SAMPLING_BLOCK_SIZE",
"default": 256,
},
"bits_per_pass": {
"pattern": "RADIX_BITS",
"default": 8,
},
},
},
"scan": {
"description": "Prefix scan in paged attention block table lookup",
"files": [
"csrc/attention/paged_attention_v1.cu",
],
"params": {
"threads_per_block": {
"pattern": "SCAN_BLOCK_SIZE",
"default": 128,
},
},
},
"transform": {
"description": "Elementwise activation kernels (SiLU, GELU, RMSNorm)",
"files": [
"csrc/activation_kernels.cu",
"csrc/layernorm_kernels.cu",
],
"params": {
"threads_per_block": {
"pattern": "ACTIVATION_BLOCK_SIZE",
"default": 512,
},
},
},
"batch_memcpy": {
"description": "KV cache block copy between GPU memory regions",
"files": [
"csrc/cache_kernels.cu",
],
"params": {
"threads_per_block": {
"pattern": "COPY_BLOCK_SIZE",
"default": 256,
},
},
},
"for": {
"description": "Elementwise for-each kernels (position embeddings, rope)",
"files": [
"csrc/pos_encoding_kernels.cu",
],
"params": {
"threads_per_block": {
"pattern": "ROPE_BLOCK_SIZE",
"default": 512,
},
},
},
}
def generate_define_patch(algo, param_name, old_value, new_value, define_name, filepath):
"""Generate a unified diff snippet for a #define change."""
lines = []
lines.append(f"--- a/{filepath}")
lines.append(f"+++ b/{filepath}")
lines.append(f"@@ -1,1 +1,1 @@")
lines.append(f"-#define {define_name} {old_value}")
lines.append(f"+#define {define_name} {new_value} // muh: tuned for BI-V100 ({algo}.{param_name})")
return "\n".join(lines)
def generate_patches(config, vllm_root=None):
"""Generate all patches from tuning config."""
tuning = config.get("tuning", {})
patches = []
summary = []
for algo, algo_params in tuning.items():
if not isinstance(algo_params, dict):
continue
mapping = VLLM_KERNEL_MAP.get(algo)
if mapping is None:
summary.append(f"SKIP {algo}: no vllm kernel mapping defined")
continue
for param_name, new_value in algo_params.items():
if param_name.startswith("_"):
continue
if new_value is None:
continue
param_spec = mapping.get("params", {}).get(param_name)
if param_spec is None:
continue
old_value = param_spec.get("default")
define_name = param_spec.get("pattern", param_name.upper())
for filepath in mapping.get("files", []):
patch = generate_define_patch(
algo, param_name, old_value, new_value, define_name, filepath
)
patches.append({
"algo": algo,
"param": param_name,
"file": filepath,
"old": old_value,
"new": new_value,
"diff": patch,
})
summary.append(
f"PATCH {filepath}: {define_name} {old_value}{new_value} "
f"(from {algo}.{param_name})"
)
return patches, summary
def write_patches(patches, out_dir):
"""Write patches to individual .patch files."""
os.makedirs(out_dir, exist_ok=True)
# Combined patch
combined_path = os.path.join(out_dir, "muh_bi100_tuning.patch")
with open(combined_path, 'w') as f:
f.write(f"# muh kernel tuning patch for Iluvatar BI-V100\n")
f.write(f"# Generated: {datetime.now().isoformat()}\n")
f.write(f"# Algorithms patched: {len(set(p['algo'] for p in patches))}\n")
f.write(f"# Total changes: {len(patches)}\n\n")
for p in patches:
f.write(p["diff"])
f.write("\n\n")
# Per-algorithm patches
by_algo = {}
for p in patches:
by_algo.setdefault(p["algo"], []).append(p)
for algo, algo_patches in by_algo.items():
algo_path = os.path.join(out_dir, f"{algo}.patch")
with open(algo_path, 'w') as f:
f.write(f"# muh tuning patch: {algo} for BI-V100\n\n")
for p in algo_patches:
f.write(p["diff"])
f.write("\n\n")
return combined_path
def main():
parser = argparse.ArgumentParser(description="Generate vllm kernel patches from .muh")
parser.add_argument("muh_file", help="Path to .muh file")
parser.add_argument("-o", "--output-dir", default="patches",
help="Output directory for patches (default: patches)")
parser.add_argument("--vllm-root", default=None,
help="Path to vllm source tree (for verification)")
parser.add_argument("--dry-run", action="store_true",
help="Print patches to stdout instead of writing files")
args = parser.parse_args()
config = load_muh(args.muh_file)
patches, summary = generate_patches(config, args.vllm_root)
print(f"muh gen_patch: {len(patches)} patches from {args.muh_file}\n")
for s in summary:
print(f" {s}")
if not patches:
print("\nNo patches generated. Add tuning overrides to your .muh file.")
return
if args.dry_run:
print("\n--- Patches ---\n")
for p in patches:
print(p["diff"])
print()
else:
combined = write_patches(patches, args.output_dir)
print(f"\nWritten to {args.output_dir}/")
print(f"Combined: {combined}")
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""muh/gen_yaml.py — Generate computility-run.yaml from a .muh configuration
Reads a .muh file (via parse.py), extracts the 'vllm' and 'env' sections,
and outputs a computility-run.yaml compatible with ModelHub XC platform.
Usage:
python3 muh/gen_yaml.py baseline.muh [-o computility-run.yaml]
"""
import os
import sys
import argparse
# Import from sibling module
sys.path.insert(0, os.path.dirname(__file__))
from parse import load_muh
# Mapping from .muh vllm config keys to CLI arguments
VLLM_ARG_MAP = {
"model_path": "--model",
"served_model_name": "--served-model-name",
"max_model_len": "--max-model-len",
"gpu_memory_utilization": "--gpu-memory-utilization",
"tensor_parallel": "-tp",
"max_num_seqs": "--max-num-seqs",
"max_num_batched_tokens": "--max-num-batched-tokens",
"max_seq_len_to_capture": "--max-seq-len-to-capture",
"tool_call_parser": "--tool-call-parser",
"reasoning_parser": "--reasoning-parser",
}
# Boolean flags (presence = enabled, no value needed)
VLLM_FLAG_MAP = {
"trust_remote_code": "--trust-remote-code",
"disable_log_requests": "--disable-log-requests",
"disable_frontend_multiprocessing": "--disable-frontend-multiprocessing",
"enable_chunked_prefill": "--enable-chunked-prefill",
"enable_auto_tool_choice": "--enable-auto-tool-choice",
"enable_prefix_caching": "--enable-prefix-caching",
}
def build_command(vllm_config):
"""Build the command list for computility-run.yaml from vllm config."""
cmd = [
"python3",
"-m",
"vllm.entrypoints.openai.api_server",
]
# Model path (required)
model_path = vllm_config.get("model_path", "/model")
cmd.extend(["--model", model_path])
# Named arguments
for muh_key, cli_arg in VLLM_ARG_MAP.items():
if muh_key == "model_path":
continue # already handled
val = vllm_config.get(muh_key)
if val is not None:
cmd.extend([cli_arg, str(val)])
# Boolean flags
for muh_key, cli_flag in VLLM_FLAG_MAP.items():
if vllm_config.get(muh_key, False):
cmd.append(cli_flag)
# Extra raw args (pass-through)
extra = vllm_config.get("extra_args", [])
if isinstance(extra, list):
cmd.extend([str(a) for a in extra])
return cmd
def build_env(env_config):
"""Build environment variable list."""
env_list = []
for name, value in env_config.items():
env_list.append({"name": name, "value": str(value)})
return env_list
def yaml_serialize_computility(concurrency, command, env_list):
"""Serialize to computility-run.yaml format (no pyyaml dependency)."""
lines = []
lines.append(f"concurrency: {concurrency}")
lines.append("command:")
for item in command:
lines.append(f" - '{item}'" if ' ' in str(item) else f" - {item}")
if env_list:
lines.append("env:")
for e in env_list:
lines.append(f" - name: {e['name']}")
lines.append(f" value: {e['value']}")
return "\n".join(lines) + "\n"
def main():
parser = argparse.ArgumentParser(description="Generate computility-run.yaml from .muh")
parser.add_argument("muh_file", help="Path to .muh file")
parser.add_argument("-o", "--output", default="computility-run.yaml",
help="Output file path (default: computility-run.yaml)")
parser.add_argument("--dry-run", action="store_true",
help="Print to stdout instead of writing file")
args = parser.parse_args()
config = load_muh(args.muh_file)
vllm_config = config.get("vllm", {})
env_config = config.get("env", {})
concurrency = config.get("concurrency", 1)
command = build_command(vllm_config)
env_list = build_env(env_config)
output = yaml_serialize_computility(concurrency, command, env_list)
if args.dry_run:
print(output)
else:
with open(args.output, 'w') as f:
f.write(output)
print(f"Generated {args.output} ({len(command)} command args, {len(env_list)} env vars)")
if __name__ == "__main__":
main()

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muh/parse.py Normal file
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#!/usr/bin/env python3
"""muh/parse.py — Parse .muh configuration files
A .muh file is YAML with these semantics:
- 'extends': inherit from another .muh file (deep merge, child overrides parent)
- 'hardware': target hardware description (warp_size, smem, registers, etc.)
- 'tuning': per-algorithm parameter overrides
- 'vllm': vllm-specific launch config (maps to computility-run.yaml)
- 'env': environment variable overrides
Schema validation against muh/schema/*.yaml ensures parameter names and
value ranges are legal.
Usage:
python3 muh/parse.py baseline.muh [--schema-dir muh/schema] [--validate]
"""
import os
import sys
import copy
import argparse
from pathlib import Path
def yaml_load_simple(text):
"""Minimal YAML parser — handles flat dicts, nested dicts, lists, strings, numbers.
No dependency on PyYAML. Sufficient for .muh files."""
result = {}
stack = [(result, -1)] # (dict, indent_level)
current_list_key = None
for line in text.split('\n'):
stripped = line.strip()
if not stripped or stripped.startswith('#'):
continue
indent = len(line) - len(line.lstrip())
# Pop stack to find parent at correct indent
while len(stack) > 1 and stack[-1][1] >= indent:
stack.pop()
parent, _ = stack[-1]
# List item
if stripped.startswith('- '):
val = stripped[2:].strip()
if current_list_key and current_list_key in parent:
if not isinstance(parent[current_list_key], list):
parent[current_list_key] = []
parent[current_list_key].append(_parse_value(val))
continue
if ':' in stripped:
key, _, val = stripped.partition(':')
key = key.strip()
val = val.strip()
if val == '' or val == '|':
# Nested dict or upcoming list
parent[key] = {}
stack.append((parent[key], indent))
current_list_key = key
elif val.startswith('[') and val.endswith(']'):
# Inline list
items = [_parse_value(v.strip()) for v in val[1:-1].split(',') if v.strip()]
parent[key] = items
current_list_key = None
else:
parent[key] = _parse_value(val)
current_list_key = key if val == '' else None
return result
def _parse_value(v):
"""Parse a YAML scalar value."""
if v in ('true', 'True', 'yes'):
return True
if v in ('false', 'False', 'no'):
return False
if v in ('null', 'None', '~', 'TBD'):
return None
# Strip quotes
if (v.startswith('"') and v.endswith('"')) or (v.startswith("'") and v.endswith("'")):
return v[1:-1]
# Try int
try:
return int(v)
except ValueError:
pass
# Try float
try:
return float(v)
except ValueError:
pass
return v
def deep_merge(base, override):
"""Deep merge two dicts; override wins on conflicts."""
result = copy.deepcopy(base)
for k, v in override.items():
if k in result and isinstance(result[k], dict) and isinstance(v, dict):
result[k] = deep_merge(result[k], v)
else:
result[k] = copy.deepcopy(v)
return result
def load_muh(filepath, search_dirs=None):
"""Load a .muh file, resolving 'extends' chain."""
if search_dirs is None:
search_dirs = [os.path.dirname(filepath), '.']
with open(filepath, 'r') as f:
data = yaml_load_simple(f.read())
# Resolve extends
if 'extends' in data:
parent_name = data.pop('extends')
parent_path = None
for d in search_dirs:
candidate = os.path.join(d, parent_name)
if os.path.exists(candidate):
parent_path = candidate
break
if parent_path is None:
raise FileNotFoundError(f"Cannot find parent .muh file: {parent_name} (searched {search_dirs})")
parent_data = load_muh(parent_path, search_dirs)
data = deep_merge(parent_data, data)
return data
def load_schema(schema_dir, algo):
"""Load a schema YAML for validation."""
path = os.path.join(schema_dir, f"{algo}.yaml")
if not os.path.exists(path):
return None
with open(path, 'r') as f:
return yaml_load_simple(f.read())
def validate_tuning(config, schema_dir):
"""Validate tuning parameters against extracted schemas."""
errors = []
tuning = config.get('tuning', {})
for algo, params in tuning.items():
if not isinstance(params, dict):
continue
schema = load_schema(schema_dir, algo)
if schema is None:
errors.append(f"WARNING: No schema for algorithm '{algo}' — skipping validation")
continue
schema_params = schema.get('parameters', {})
for param_name, param_value in params.items():
if param_name.startswith('_'): # metadata keys
continue
if param_name not in schema_params:
errors.append(f"{algo}.{param_name}: unknown parameter (not in schema)")
continue
spec = schema_params[param_name]
if spec.get('type') == 'int' and isinstance(param_value, (int, float)):
rng = spec.get('range', [0, 99999])
if not (rng[0] <= param_value <= rng[1]):
errors.append(
f"{algo}.{param_name}: value {param_value} outside range {rng}"
)
elif spec.get('type') == 'enum' and isinstance(param_value, str):
valid = spec.get('values', [])
if param_value not in valid:
errors.append(
f"{algo}.{param_name}: '{param_value}' not in {valid}"
)
return errors
def print_config(config, indent=0):
"""Pretty-print a parsed .muh config."""
prefix = " " * indent
for k, v in config.items():
if isinstance(v, dict):
print(f"{prefix}{k}:")
print_config(v, indent + 1)
elif isinstance(v, list):
print(f"{prefix}{k}:")
for item in v:
print(f"{prefix} - {item}")
else:
print(f"{prefix}{k}: {v}")
def main():
parser = argparse.ArgumentParser(description="Parse and validate .muh files")
parser.add_argument("muh_file", help="Path to .muh file")
parser.add_argument("--schema-dir", default="muh/schema",
help="Schema directory (default: muh/schema)")
parser.add_argument("--validate", action="store_true",
help="Validate tuning params against schemas")
parser.add_argument("--json", action="store_true",
help="Output as JSON instead of pretty-print")
args = parser.parse_args()
config = load_muh(args.muh_file)
if args.validate:
errors = validate_tuning(config, args.schema_dir)
if errors:
print("Validation errors:", file=sys.stderr)
for e in errors:
print(f"{e}", file=sys.stderr)
sys.exit(1)
else:
print("Validation passed ✓", file=sys.stderr)
if args.json:
import json
print(json.dumps(config, indent=2, ensure_ascii=False))
else:
print_config(config)
if __name__ == "__main__":
main()

32
muh/schema/_index.yaml Normal file
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# muh schema index — all extracted CCCL tuning algorithms
algorithms:
- adjacent_difference
- batch_memcpy
- batched_topk
- find
- find_bound_sorted_values
- for
- histogram
- merge
- merge_sort
- radix_sort
- reduce
- reduce_by_key
- rle_encode
- rle_non_trivial_runs
- scan
- scan_by_key
- segmented_radix_sort
- segmented_reduce
- segmented_scan
- segmented_sort
- select_if
- three_way_partition
- topk
- transform
- transform_tile
- unique_by_key
total: 26
source: cccl_upstream/cub/cub/device/dispatch/tuning/

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# muh schema for adjacent_difference
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_adjacent_difference.cuh
# Generated by muh/extract.py
algorithm: adjacent_difference
source: cub/cub/device/dispatch/tuning/tuning_adjacent_difference.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
load_algorithm:
type: enum
values:
- BLOCK_LOAD_DIRECT
- BLOCK_LOAD_VECTORIZE
- BLOCK_LOAD_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED
- BLOCK_LOAD_STRIPED
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
store_algorithm:
type: enum
values:
- BLOCK_STORE_DIRECT
- BLOCK_STORE_WARP_TRANSPOSE
- BLOCK_STORE_WARP_TRANSPOSE_TIMESLICED
- BLOCK_STORE_STRIPED
value_type_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

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# muh schema for batch_memcpy
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_batch_memcpy.cuh
# Generated by muh/extract.py
algorithm: batch_memcpy
source: cub/cub/device/dispatch/tuning/tuning_batch_memcpy.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
buffers_per_thread:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
bytes_per_thread:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
block_level_tile_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
warp_level_threshold:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
block_level_threshold:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
buffer_lookback_delay:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
block_lookback_delay:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

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# muh schema for batched_topk
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_batched_topk.cuh
# Generated by muh/extract.py
algorithm: batched_topk
source: cub/cub/device/dispatch/tuning/tuning_batched_topk.cuh
parameters:
items_per_thread:
type: int
range:
- 1
- 32
step: 1
load_algorithm:
type: enum
values:
- BLOCK_LOAD_DIRECT
- BLOCK_LOAD_VECTORIZE
- BLOCK_LOAD_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED
- BLOCK_LOAD_STRIPED
store_algorithm:
type: enum
values:
- BLOCK_STORE_DIRECT
- BLOCK_STORE_WARP_TRANSPOSE
- BLOCK_STORE_WARP_TRANSPOSE_TIMESLICED
- BLOCK_STORE_STRIPED
scan_algorithm:
type: enum
values:
- BLOCK_SCAN_RAKING
- BLOCK_SCAN_RAKING_MEMOIZE
- BLOCK_SCAN_WARP_SCANS
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

46
muh/schema/find.yaml Normal file
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# muh schema for find
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_find.cuh
# Generated by muh/extract.py
algorithm: find
source: cub/cub/device/dispatch/tuning/tuning_find.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
vec_size:
type: int
range:
- 1
- 8
step: 1
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
input_type_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

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# muh schema for find_bound_sorted_values
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_find_bound_sorted_values.cuh
# Generated by muh/extract.py
algorithm: find_bound_sorted_values
source: cub/cub/device/dispatch/tuning/tuning_find_bound_sorted_values.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
range_type_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
values_type_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

24
muh/schema/for.yaml Normal file
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# muh schema for for
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_for.cuh
# Generated by muh/extract.py
algorithm: for
source: cub/cub/device/dispatch/tuning/tuning_for.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

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muh/schema/histogram.yaml Normal file
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# muh schema for histogram
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_histogram.cuh
# Generated by muh/extract.py
algorithm: histogram
source: cub/cub/device/dispatch/tuning/tuning_histogram.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
pixels_per_thread:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
vec_size:
type: int
range:
- 1
- 8
step: 1
load_algorithm:
type: enum
values:
- BLOCK_LOAD_DIRECT
- BLOCK_LOAD_VECTORIZE
- BLOCK_LOAD_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED
- BLOCK_LOAD_STRIPED
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
init_kernel_pdl_trigger_max_bins:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
sample_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
counter_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
sample_size_bytes:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
num_channels:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
num_active_channels:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
reference_tunings:
sm90:
-
threads: 768
items: 12
load_modifier: LOAD_LDG
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 960
items: 10
load_modifier: LOAD_DEFAULT
load_algorithm: BLOCK_LOAD_DIRECT
sm100:
-
items: 12
threads: 928
load_modifier: LOAD_CA
load_algorithm: BLOCK_LOAD_DIRECT
vec_size: 1
-
items: 12
threads: 448
load_modifier: LOAD_LDG
load_algorithm: BLOCK_LOAD_DIRECT
vec_size: 1
init_kernel_pdl_trigger_max_bins: 2048
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

89
muh/schema/merge.yaml Normal file
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# muh schema for merge
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_merge.cuh
# Generated by muh/extract.py
algorithm: merge
source: cub/cub/device/dispatch/tuning/tuning_merge.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
store_algorithm:
type: enum
values:
- BLOCK_STORE_DIRECT
- BLOCK_STORE_WARP_TRANSPOSE
- BLOCK_STORE_WARP_TRANSPOSE_TIMESLICED
- BLOCK_STORE_STRIPED
key_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
key_align:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
key_is_trivially_relocatable:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
value_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
value_align:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
value_is_trivially_relocatable:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
offset_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

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# muh schema for merge_sort
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_merge_sort.cuh
# Generated by muh/extract.py
algorithm: merge_sort
source: cub/cub/device/dispatch/tuning/tuning_merge_sort.cuh
parameters:
ItemsPerThread:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
load_algorithm:
type: enum
values:
- BLOCK_LOAD_DIRECT
- BLOCK_LOAD_VECTORIZE
- BLOCK_LOAD_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED
- BLOCK_LOAD_STRIPED
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
store_algorithm:
type: enum
values:
- BLOCK_STORE_DIRECT
- BLOCK_STORE_WARP_TRANSPOSE
- BLOCK_STORE_WARP_TRANSPOSE_TIMESLICED
- BLOCK_STORE_STRIPED
key_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

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muh/schema/radix_sort.yaml Normal file
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# muh schema for radix_sort
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_radix_sort.cuh
# Generated by muh/extract.py
algorithm: radix_sort
source: cub/cub/device/dispatch/tuning/tuning_radix_sort.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
private_partitions:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
radix_bits:
type: int
range:
- 4
- 8
step: 1
scan_algorithm:
type: enum
values:
- BLOCK_SCAN_RAKING
- BLOCK_SCAN_RAKING_MEMOIZE
- BLOCK_SCAN_WARP_SCANS
rank_private_partitions:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
load_algorithm:
type: enum
values:
- BLOCK_LOAD_DIRECT
- BLOCK_LOAD_VECTORIZE
- BLOCK_LOAD_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED
- BLOCK_LOAD_STRIPED
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
threads:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
items:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
key_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
value_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
offset_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

102
muh/schema/reduce.yaml Normal file
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# muh schema for reduce
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_reduce.cuh
# Generated by muh/extract.py
algorithm: reduce
source: cub/cub/device/dispatch/tuning/tuning_reduce.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
vec_size:
type: int
range:
- 1
- 8
step: 1
reduce_algorithm:
type: enum
values:
- BLOCK_REDUCE_RAKING
- BLOCK_REDUCE_RAKING_COMMUTATIVE_ONLY
- BLOCK_REDUCE_WARP_REDUCTIONS
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
items:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
threads:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
items_per_vec_load:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
offset_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
accum_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
reference_tunings:
sm100:
-
items: 15
threads: 512
items_per_vec_load: 2
-
items: 15
threads: 512
items_per_vec_load: 1
-
items: 16
threads: 512
items_per_vec_load: 2
-
items: 16
threads: 640
items_per_vec_load: 1
-
threads_per_block: 256
items_per_thread: 16
items_per_vec_load: 4
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

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# muh schema for reduce_by_key
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_reduce_by_key.cuh
# Generated by muh/extract.py
algorithm: reduce_by_key
source: cub/cub/device/dispatch/tuning/tuning_reduce_by_key.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
load_algorithm:
type: enum
values:
- BLOCK_LOAD_DIRECT
- BLOCK_LOAD_VECTORIZE
- BLOCK_LOAD_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED
- BLOCK_LOAD_STRIPED
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
scan_algorithm:
type: enum
values:
- BLOCK_SCAN_RAKING
- BLOCK_SCAN_RAKING_MEMOIZE
- BLOCK_SCAN_WARP_SCANS
lookback_delay.kind:
type: enum
values:
- no_delay
- fixed_delay
- exponential_backoff
- exponential_backoff_jitter
- exponential_backoff_jitter_window
- exponential_backon_jitter_window
- exponential_backon_jitter
- exponential_backon
lookback_delay.delay:
type: int
range:
- 0
- 2000
step: 50
lookback_delay.l2_write_latency:
type: int
range:
- 0
- 2000
step: 50
key_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
accum_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
reference_tunings:
sm80:
-
threads: 256
items: 13
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 224
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 256
items: 15
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 224
items: 7
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 128
items: 9
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 256
items: 11
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 224
items: 14
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 256
items: 14
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 224
items: 9
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 160
items: 9
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 288
items: 11
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 192
items: 15
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 256
items: 15
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 224
items: 9
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 160
items: 9
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 192
items: 10
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 224
items: 7
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 384
items: 7
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 128
items: 14
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 192
items: 7
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 192
items: 7
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 192
items: 7
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 192
items: 7
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 128
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
sm90:
-
threads: 256
items: 13
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 320
items: 23
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 192
items: 14
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 13
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 23
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 256
items: 11
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 256
items: 14
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 19
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 256
items: 13
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 256
items: 18
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 256
items: 18
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 13
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 256
items: 10
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 256
items: 9
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 128
items: 13
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 23
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
nominal_4B_items_per_thread: 6
sm100:
-
items: 13
threads: 576
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_CA
-
items: 10
threads: 224
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
items: 14
threads: 128
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
items: 19
threads: 128
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 128
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
items: 14
threads: 128
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
items: 14
threads: 256
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
items: 11
threads: 256
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
items: 10
threads: 160
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 128
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
items: 10
threads: 224
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
items: 11
threads: 256
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
items: 14
threads: 224
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
items: 10
threads: 256
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 128
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
items: 9
threads: 224
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
items: 11
threads: 224
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_CA
-
items: 9
threads: 224
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
items: 9
threads: 224
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 128
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

155
muh/schema/rle_encode.yaml Normal file
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# muh schema for rle_encode
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_rle_encode.cuh
# Generated by muh/extract.py
algorithm: rle_encode
source: cub/cub/device/dispatch/tuning/tuning_rle_encode.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
load_algorithm:
type: enum
values:
- BLOCK_LOAD_DIRECT
- BLOCK_LOAD_VECTORIZE
- BLOCK_LOAD_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED
- BLOCK_LOAD_STRIPED
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
scan_algorithm:
type: enum
values:
- BLOCK_SCAN_RAKING
- BLOCK_SCAN_RAKING_MEMOIZE
- BLOCK_SCAN_WARP_SCANS
lookback_delay.kind:
type: enum
values:
- no_delay
- fixed_delay
- exponential_backoff
- exponential_backoff_jitter
- exponential_backoff_jitter_window
- exponential_backon_jitter_window
- exponential_backon_jitter
- exponential_backon
lookback_delay.delay:
type: int
range:
- 0
- 2000
step: 50
lookback_delay.l2_write_latency:
type: int
range:
- 0
- 2000
step: 50
length_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
key_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
reference_tunings:
sm80:
-
threads: 256
items: 14
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 256
items: 13
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 256
items: 13
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 224
items: 9
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 7
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
sm90:
-
threads: 256
items: 13
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 128
items: 22
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 192
items: 14
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 19
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
sm100:
-
threads: 256
items: 14
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_CA
-
threads: 224
items: 14
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 256
items: 14
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_CA
-
threads: 224
items: 9
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 128
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
nominal_4B_items_per_thread: 6
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

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@@ -0,0 +1,155 @@
# muh schema for rle_non_trivial_runs
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_rle_non_trivial_runs.cuh
# Generated by muh/extract.py
algorithm: rle_non_trivial_runs
source: cub/cub/device/dispatch/tuning/tuning_rle_non_trivial_runs.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
load_algorithm:
type: enum
values:
- BLOCK_LOAD_DIRECT
- BLOCK_LOAD_VECTORIZE
- BLOCK_LOAD_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED
- BLOCK_LOAD_STRIPED
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
scan_algorithm:
type: enum
values:
- BLOCK_SCAN_RAKING
- BLOCK_SCAN_RAKING_MEMOIZE
- BLOCK_SCAN_WARP_SCANS
lookback_delay.kind:
type: enum
values:
- no_delay
- fixed_delay
- exponential_backoff
- exponential_backoff_jitter
- exponential_backoff_jitter_window
- exponential_backon_jitter_window
- exponential_backon_jitter
- exponential_backon
lookback_delay.delay:
type: int
range:
- 0
- 2000
step: 50
lookback_delay.l2_write_latency:
type: int
range:
- 0
- 2000
step: 50
length_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
key_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
reference_tunings:
sm80:
-
threads: 192
items: 20
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 192
items: 20
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 224
items: 15
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 256
items: 13
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 192
items: 13
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
sm90:
-
threads: 256
items: 18
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 224
items: 20
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 256
items: 18
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 224
items: 14
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 288
items: 9
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
sm100:
-
threads: 224
items: 20
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_CA
-
threads: 224
items: 20
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 224
items: 13
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 256
items: 15
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 288
items: 9
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
nominal_4B_items_per_thread: 15
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

255
muh/schema/scan.yaml Normal file
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# muh schema for scan
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_scan.cuh
# Generated by muh/extract.py
algorithm: scan
source: cub/cub/device/dispatch/tuning/tuning_scan.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
load_algorithm:
type: enum
values:
- BLOCK_LOAD_DIRECT
- BLOCK_LOAD_VECTORIZE
- BLOCK_LOAD_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED
- BLOCK_LOAD_STRIPED
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
store_algorithm:
type: enum
values:
- BLOCK_STORE_DIRECT
- BLOCK_STORE_WARP_TRANSPOSE
- BLOCK_STORE_WARP_TRANSPOSE_TIMESLICED
- BLOCK_STORE_STRIPED
scan_algorithm:
type: enum
values:
- BLOCK_SCAN_RAKING
- BLOCK_SCAN_RAKING_MEMOIZE
- BLOCK_SCAN_WARP_SCANS
lookback_delay.kind:
type: enum
values:
- no_delay
- fixed_delay
- exponential_backoff
- exponential_backoff_jitter
- exponential_backoff_jitter_window
- exponential_backon_jitter_window
- exponential_backon_jitter
- exponential_backon
lookback_delay.delay:
type: int
range:
- 0
- 2000
step: 50
lookback_delay.l2_write_latency:
type: int
range:
- 0
- 2000
step: 50
reduce_and_scan_warps:
type: int
range:
- 1
- 8
step: 1
lookahead_items_per_thread:
type: int
range:
- 1
- 16
step: 1
lookahead_stages:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
block_idx_stages:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
delay_constructor:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
input_value_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
input_value_alignment:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
output_value_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
output_value_alignment:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
accum_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
accum_alignment:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
offset_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
reference_tunings:
sm75:
-
threads: 128
items: 7
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
sm80:
-
threads: 320
items: 14
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 352
items: 16
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 320
items: 12
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 288
items: 22
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 288
items: 8
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 384
items: 12
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 640
items: 24
load_algorithm: BLOCK_LOAD_DIRECT
store_algorithm: BLOCK_STORE_DIRECT
sm90:
sm100:
-
items: 18
threads: 512
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
items: 14
threads: 384
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_CA
-
items: 13
threads: 512
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
items: 13
threads: 288
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_CA
-
items: 22
threads: 384
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
items: 19
threads: 416
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_CA
-
items: 23
threads: 416
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
items: 22
threads: 320
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

450
muh/schema/scan_by_key.yaml Normal file
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# muh schema for scan_by_key
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_scan_by_key.cuh
# Generated by muh/extract.py
algorithm: scan_by_key
source: cub/cub/device/dispatch/tuning/tuning_scan_by_key.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
load_algorithm:
type: enum
values:
- BLOCK_LOAD_DIRECT
- BLOCK_LOAD_VECTORIZE
- BLOCK_LOAD_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED
- BLOCK_LOAD_STRIPED
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
store_algorithm:
type: enum
values:
- BLOCK_STORE_DIRECT
- BLOCK_STORE_WARP_TRANSPOSE
- BLOCK_STORE_WARP_TRANSPOSE_TIMESLICED
- BLOCK_STORE_STRIPED
scan_algorithm:
type: enum
values:
- BLOCK_SCAN_RAKING
- BLOCK_SCAN_RAKING_MEMOIZE
- BLOCK_SCAN_WARP_SCANS
lookback_delay.kind:
type: enum
values:
- no_delay
- fixed_delay
- exponential_backoff
- exponential_backoff_jitter
- exponential_backoff_jitter_window
- exponential_backon_jitter_window
- exponential_backon_jitter
- exponential_backon
lookback_delay.delay:
type: int
range:
- 0
- 2000
step: 50
lookback_delay.l2_write_latency:
type: int
range:
- 0
- 2000
step: 50
key_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
value_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
accum_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
reference_tunings:
sm80:
-
threads: 128
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
store_algorithm: BLOCK_STORE_DIRECT
-
threads: 288
items: 12
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 256
items: 15
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 192
items: 10
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 128
items: 19
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 256
items: 8
load_algorithm: BLOCK_LOAD_DIRECT
store_algorithm: BLOCK_STORE_DIRECT
-
threads: 320
items: 14
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 256
items: 15
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 160
items: 17
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 160
items: 14
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 128
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
store_algorithm: BLOCK_STORE_DIRECT
-
threads: 256
items: 12
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 256
items: 15
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 256
items: 9
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 128
items: 17
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 128
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 256
items: 10
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 224
items: 13
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 224
items: 10
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 320
items: 8
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 192
items: 7
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 192
items: 7
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 256
items: 7
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 128
items: 15
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 128
items: 15
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
sm90:
-
threads: 128
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
store_algorithm: BLOCK_STORE_DIRECT
-
threads: 256
items: 16
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 128
items: 15
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 224
items: 10
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 128
items: 23
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 128
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
store_algorithm: BLOCK_STORE_DIRECT
-
threads: 128
items: 20
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 128
items: 22
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 224
items: 10
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 128
items: 23
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 128
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
store_algorithm: BLOCK_STORE_DIRECT
-
threads: 256
items: 14
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 288
items: 14
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 224
items: 14
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 128
items: 23
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 128
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
store_algorithm: BLOCK_STORE_DIRECT
-
threads: 224
items: 10
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 192
items: 10
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 224
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 192
items: 15
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 192
items: 7
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 224
items: 10
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 256
items: 9
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 192
items: 9
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
-
threads: 128
items: 23
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
sm100:
-
items: 13
threads: 288
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
items: 13
threads: 288
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
items: 19
threads: 224
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_CA
-
items: 18
threads: 192
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_CA
-
items: 12
threads: 384
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
items: 14
threads: 160
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
items: 14
threads: 160
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
items: 13
threads: 224
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_CA
-
items: 20
threads: 224
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_CA
-
items: 13
threads: 288
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_CA
-
items: 20
threads: 224
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_CA
-
items: 14
threads: 224
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_CA
-
items: 12
threads: 160
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
items: 15
threads: 288
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
items: 22
threads: 160
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_CA
-
items: 23
threads: 256
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
store_algorithm: BLOCK_STORE_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
nominal_4b_items_per_thread: 9
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

View File

@@ -0,0 +1,26 @@
# muh schema for segmented_radix_sort
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_segmented_radix_sort.cuh
# Generated by muh/extract.py
algorithm: segmented_radix_sort
source: cub/cub/device/dispatch/tuning/tuning_segmented_radix_sort.cuh
parameters:
key_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
value_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

View File

@@ -0,0 +1,60 @@
# muh schema for segmented_reduce
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_segmented_reduce.cuh
# Generated by muh/extract.py
algorithm: segmented_reduce
source: cub/cub/device/dispatch/tuning/tuning_segmented_reduce.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
threads_per_warp:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
items_per_thread:
type: int
range:
- 1
- 32
step: 1
vec_size:
type: int
range:
- 1
- 8
step: 1
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
offset_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
accum_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

View File

@@ -0,0 +1,76 @@
# muh schema for segmented_scan
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_segmented_scan.cuh
# Generated by muh/extract.py
algorithm: segmented_scan
source: cub/cub/device/dispatch/tuning/tuning_segmented_scan.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
load_algorithm:
type: enum
values:
- BLOCK_LOAD_DIRECT
- BLOCK_LOAD_VECTORIZE
- BLOCK_LOAD_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED
- BLOCK_LOAD_STRIPED
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
store_algorithm:
type: enum
values:
- BLOCK_STORE_DIRECT
- BLOCK_STORE_WARP_TRANSPOSE
- BLOCK_STORE_WARP_TRANSPOSE_TIMESLICED
- BLOCK_STORE_STRIPED
scan_algorithm:
type: enum
values:
- BLOCK_SCAN_RAKING
- BLOCK_SCAN_RAKING_MEMOIZE
- BLOCK_SCAN_WARP_SCANS
max_segments:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
accum_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
accum_align:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

View File

@@ -0,0 +1,82 @@
# muh schema for segmented_sort
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_segmented_sort.cuh
# Generated by muh/extract.py
algorithm: segmented_sort
source: cub/cub/device/dispatch/tuning/tuning_segmented_sort.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
load_algorithm:
type: enum
values:
- BLOCK_LOAD_DIRECT
- BLOCK_LOAD_VECTORIZE
- BLOCK_LOAD_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED
- BLOCK_LOAD_STRIPED
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
scan_algorithm:
type: enum
values:
- BLOCK_SCAN_RAKING
- BLOCK_SCAN_RAKING_MEMOIZE
- BLOCK_SCAN_WARP_SCANS
radix_bits:
type: int
range:
- 4
- 8
step: 1
threads_per_warp:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
partitioning_threshold:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
key_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
value_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

508
muh/schema/select_if.yaml Normal file
View File

@@ -0,0 +1,508 @@
# muh schema for select_if
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_select_if.cuh
# Generated by muh/extract.py
algorithm: select_if
source: cub/cub/device/dispatch/tuning/tuning_select_if.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
load_algorithm:
type: enum
values:
- BLOCK_LOAD_DIRECT
- BLOCK_LOAD_VECTORIZE
- BLOCK_LOAD_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED
- BLOCK_LOAD_STRIPED
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
scan_algorithm:
type: enum
values:
- BLOCK_SCAN_RAKING
- BLOCK_SCAN_RAKING_MEMOIZE
- BLOCK_SCAN_WARP_SCANS
lookback_delay.kind:
type: enum
values:
- no_delay
- fixed_delay
- exponential_backoff
- exponential_backoff_jitter
- exponential_backoff_jitter_window
- exponential_backon_jitter_window
- exponential_backon_jitter
- exponential_backon
lookback_delay.delay:
type: int
range:
- 0
- 2000
step: 50
lookback_delay.l2_write_latency:
type: int
range:
- 0
- 2000
step: 50
input_size_bytes:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
flag_size_bytes:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
offset_size_bytes:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
reference_tunings:
sm80:
-
threads: 992
items: 20
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 576
items: 14
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 256
items: 18
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 192
items: 10
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 384
items: 4
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 224
items: 20
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 256
items: 20
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 320
items: 10
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 384
items: 6
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 256
items: 5
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 512
items: 20
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 224
items: 18
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 192
items: 15
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 192
items: 10
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 256
items: 5
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 512
items: 20
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 224
items: 18
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 192
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 192
items: 12
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 256
items: 5
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
sm90:
-
threads: 256
items: 22
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 256
items: 22
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 384
items: 17
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 384
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 512
items: 5
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 448
items: 20
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 448
items: 20
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 384
items: 15
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 384
items: 11
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 512
items: 3
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 384
items: 20
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 320
items: 14
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 256
items: 14
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 128
items: 12
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 192
items: 5
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 256
items: 20
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 512
items: 20
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 256
items: 20
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 224
items: 6
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 160
items: 5
load_algorithm: BLOCK_LOAD_DIRECT
sm100:
-
threads: 384
nominal_4b_items: 22
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 448
nominal_4b_items: 20
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 256
nominal_4b_items: 20
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 384
nominal_4b_items: 20
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 384
nominal_4b_items: 15
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 512
nominal_4b_items: 19
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 384
nominal_4b_items: 23
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 512
nominal_4b_items: 5
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 512
nominal_4b_items: 5
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 896
nominal_4b_items: 20
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 1024
nominal_4b_items: 20
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 256
nominal_4b_items: 22
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 448
nominal_4b_items: 20
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 512
nominal_4b_items: 14
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 384
nominal_4b_items: 14
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 320
nominal_4b_items: 22
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_CA
-
threads: 384
nominal_4b_items: 21
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_CA
-
threads: 512
nominal_4b_items: 3
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 512
nominal_4b_items: 3
load_algorithm: BLOCK_LOAD_DIRECT
-
nominal_4b_items: 15
threads: 608
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 22
threads: 320
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 19
threads: 320
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 20
threads: 416
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 22
threads: 576
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 20
threads: 608
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 18
threads: 608
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 14
threads: 512
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 22
threads: 224
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 22
threads: 320
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 19
threads: 608
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 23
threads: 416
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 20
threads: 608
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 22
threads: 288
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 19
threads: 608
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 23
threads: 416
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 20
threads: 448
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 18
threads: 256
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 19
threads: 256
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 21
threads: 384
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 20
threads: 448
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_CA
-
nominal_4b_items: 14
threads: 320
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 14
threads: 640
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 19
threads: 384
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 24
threads: 256
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 18
threads: 256
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 11
threads: 448
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 20
threads: 384
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 12
threads: 256
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 12
threads: 256
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 14
threads: 352
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
nominal_4b_items: 11
threads: 512
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
nominal_4B_items_per_thread: 10
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

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@@ -0,0 +1,185 @@
# muh schema for three_way_partition
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_three_way_partition.cuh
# Generated by muh/extract.py
algorithm: three_way_partition
source: cub/cub/device/dispatch/tuning/tuning_three_way_partition.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
load_algorithm:
type: enum
values:
- BLOCK_LOAD_DIRECT
- BLOCK_LOAD_VECTORIZE
- BLOCK_LOAD_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED
- BLOCK_LOAD_STRIPED
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
scan_algorithm:
type: enum
values:
- BLOCK_SCAN_RAKING
- BLOCK_SCAN_RAKING_MEMOIZE
- BLOCK_SCAN_WARP_SCANS
lookback_delay.kind:
type: enum
values:
- no_delay
- fixed_delay
- exponential_backoff
- exponential_backoff_jitter
- exponential_backoff_jitter_window
- exponential_backon_jitter_window
- exponential_backon_jitter
- exponential_backon
lookback_delay.delay:
type: int
range:
- 0
- 2000
step: 50
lookback_delay.l2_write_latency:
type: int
range:
- 0
- 2000
step: 50
input_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
offset_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
reference_tunings:
sm80:
-
threads: 256
items: 12
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 256
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 224
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 10
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
sm90:
-
threads: 256
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 256
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 320
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 384
items: 7
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 7
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 256
items: 24
load_algorithm: BLOCK_LOAD_DIRECT
-
threads: 640
items: 24
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 256
items: 23
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 256
items: 18
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 256
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 7
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
threads: 128
items: 7
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
sm100:
-
items: 12
threads: 256
load_algorithm: BLOCK_LOAD_DIRECT
-
items: 14
threads: 288
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
items: 11
threads: 512
load_algorithm: BLOCK_LOAD_DIRECT
-
items: 10
threads: 256
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
items: 20
threads: 768
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
items: 20
threads: 768
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
items: 15
threads: 768
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
-
items: 14
threads: 320
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

52
muh/schema/topk.yaml Normal file
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@@ -0,0 +1,52 @@
# muh schema for topk
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_topk.cuh
# Generated by muh/extract.py
algorithm: topk
source: cub/cub/device/dispatch/tuning/tuning_topk.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
load_algorithm:
type: enum
values:
- BLOCK_LOAD_DIRECT
- BLOCK_LOAD_VECTORIZE
- BLOCK_LOAD_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED
- BLOCK_LOAD_STRIPED
scan_algorithm:
type: enum
values:
- BLOCK_SCAN_RAKING
- BLOCK_SCAN_RAKING_MEMOIZE
- BLOCK_SCAN_WARP_SCANS
bits_per_pass:
type: int
range:
- 4
- 11
step: 1
key_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

107
muh/schema/transform.yaml Normal file
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@@ -0,0 +1,107 @@
# muh schema for transform
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_transform.cuh
# Generated by muh/extract.py
algorithm: transform
source: cub/cub/device/dispatch/tuning/tuning_transform.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread_no_input:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
min_items_per_thread:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
max_items_per_thread:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
prefetch_byte_stride:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
unroll_factor:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
items_per_thread:
type: int
range:
- 1
- 32
step: 1
vec_size:
type: int
range:
- 1
- 8
step: 1
store_vec_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
min_bytes_in_flight:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
copy_alignment:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
smem_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
tile_padding:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
max_alignment:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

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@@ -0,0 +1,19 @@
# muh schema for transform_tile
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_transform_tile.cuh
# Generated by muh/extract.py
algorithm: transform_tile
source: cub/cub/device/dispatch/tuning/tuning_transform_tile.cuh
parameters:
items:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD

View File

@@ -0,0 +1,379 @@
# muh schema for unique_by_key
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_unique_by_key.cuh
# Generated by muh/extract.py
algorithm: unique_by_key
source: cub/cub/device/dispatch/tuning/tuning_unique_by_key.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
load_algorithm:
type: enum
values:
- BLOCK_LOAD_DIRECT
- BLOCK_LOAD_VECTORIZE
- BLOCK_LOAD_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED
- BLOCK_LOAD_STRIPED
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
scan_algorithm:
type: enum
values:
- BLOCK_SCAN_RAKING
- BLOCK_SCAN_RAKING_MEMOIZE
- BLOCK_SCAN_WARP_SCANS
lookback_delay.kind:
type: enum
values:
- no_delay
- fixed_delay
- exponential_backoff
- exponential_backoff_jitter
- exponential_backoff_jitter_window
- exponential_backon_jitter_window
- exponential_backon_jitter
- exponential_backon
lookback_delay.delay:
type: int
range:
- 0
- 2000
step: 50
lookback_delay.l2_write_latency:
type: int
range:
- 0
- 2000
step: 50
key_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
value_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
reference_tunings:
sm80:
-
threads: 256
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 256
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 256
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 224
items: 10
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 128
items: 15
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 320
items: 20
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 192
items: 22
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 256
items: 14
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 256
items: 10
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 256
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 256
items: 14
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 256
items: 11
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 256
items: 7
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 256
items: 7
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 256
items: 7
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 256
items: 7
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 192
items: 7
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 128
items: 7
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
sm90:
-
threads: 256
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 448
items: 14
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 256
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 512
items: 10
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 288
items: 7
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 256
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 288
items: 14
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 512
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 256
items: 23
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 224
items: 9
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 448
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 384
items: 9
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 512
items: 14
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 512
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 384
items: 7
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 384
items: 9
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 384
items: 9
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 640
items: 7
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 448
items: 11
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 256
items: 9
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
sm100:
-
threads: 512
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 512
items: 14
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 512
items: 14
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 384
items: 10
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 288
items: 7
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 512
items: 14
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 384
items: 12
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 384
items: 11
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_CA
-
threads: 384
items: 10
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 224
items: 9
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 512
items: 14
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 384
items: 11
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 512
items: 14
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 384
items: 10
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 384
items: 7
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
-
threads: 384
items: 9
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 384
items: 10
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 384
items: 10
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 576
items: 7
load_algorithm: BLOCK_LOAD_DIRECT
load_modifier: LOAD_DEFAULT
-
threads: 256
items: 9
load_algorithm: BLOCK_LOAD_WARP_TRANSPOSE
load_modifier: LOAD_DEFAULT
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD