[INFRA] Import NVIDIA/CCCL upstream as optimization reference library
CCCL (CUDA C++ Core Libraries) provides: - CUB: device/block/warp-level GPU primitives (reduce, scan, sort, topk) - Thrust: high-level parallel algorithms (transform_reduce, sort, scan) - libcudacxx: CUDA C++ standard library (atomics, barriers, memory) - cudax: experimental features (memory resources, allocators) - Tuning policies: per-SM hardware-specific algorithm parameters Competition optimization vectors mapped to CCCL: - Output TPS (83% weight): warp_reduce, block_reduce, device_topk - Input TPS (14% weight): device_scan, block_load, prefetch - Cache TPS (3% weight): prefix caching strategy patterns - Memory (0.9 util): pooled/cached/buddy allocators Source: https://github.com/NVIDIA/cccl (shallow clone, HEAD only) License: Apache-2.0
This commit is contained in:
192
cccl_upstream/libcudacxx/codegen/generators/definitions.h
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192
cccl_upstream/libcudacxx/codegen/generators/definitions.h
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//===----------------------------------------------------------------------===//
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//
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// Part of libcu++, the C++ Standard Library for your entire system,
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// under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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// SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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#ifndef DEFINITIONS_H
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#define DEFINITIONS_H
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#include <format>
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#include <map>
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#include <string>
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#include <type_traits>
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#include <vector>
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enum class Mmio
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{
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Disabled,
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Enabled,
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};
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inline std::string mmio(Mmio m)
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{
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static const char* mmio_map[]{
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"",
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".mmio",
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};
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return mmio_map[std::underlying_type_t<Mmio>(m)];
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}
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inline std::string mmio_tag(Mmio m)
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{
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static const char* mmio_map[]{
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"__atomic_cuda_mmio_disable",
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"__atomic_cuda_mmio_enable",
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};
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return mmio_map[std::underlying_type_t<Mmio>(m)];
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}
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enum class Operand
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{
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Floating,
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Unsigned,
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Signed,
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Bit,
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};
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inline std::string operand(Operand op)
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{
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static std::map op_map = {
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std::pair{Operand::Floating, "f"},
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std::pair{Operand::Unsigned, "u"},
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std::pair{Operand::Signed, "s"},
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std::pair{Operand::Bit, "b"},
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};
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return op_map[op];
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}
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inline std::string operand_proxy_type(Operand op, size_t sz)
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{
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if (op == Operand::Floating)
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{
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if (sz == 32)
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{
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return {"float"};
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}
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else
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{
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return {"double"};
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}
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}
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else if (op == Operand::Signed)
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{
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return std::format("int{}_t", sz);
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}
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// Binary and unsigned can be the same proxy_type
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return std::format("uint{}_t", sz);
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}
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inline std::string constraints(Operand op, size_t sz)
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{
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static std::map constraint_map = {
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std::pair{32,
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std::map{
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std::pair{Operand::Bit, "r"},
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std::pair{Operand::Unsigned, "r"},
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std::pair{Operand::Signed, "r"},
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std::pair{Operand::Floating, "f"},
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}},
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std::pair{64,
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std::map{
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std::pair{Operand::Bit, "l"},
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std::pair{Operand::Unsigned, "l"},
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std::pair{Operand::Signed, "l"},
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std::pair{Operand::Floating, "d"},
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}},
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std::pair{128,
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std::map{
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std::pair{Operand::Bit, "l"},
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std::pair{Operand::Unsigned, "l"},
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std::pair{Operand::Signed, "l"},
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std::pair{Operand::Floating, "d"},
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}},
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};
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if (sz == 16)
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{
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return {"h"};
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}
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else
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{
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return constraint_map[sz][op];
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}
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}
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enum class Semantic
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{
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Relaxed,
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Release,
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Acquire,
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Acq_Rel,
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Seq_Cst,
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Volatile,
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};
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inline std::string semantic(Semantic sem)
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{
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static std::map sem_map = {
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std::pair{Semantic::Relaxed, ".relaxed"},
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std::pair{Semantic::Release, ".release"},
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std::pair{Semantic::Acquire, ".acquire"},
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std::pair{Semantic::Acq_Rel, ".acq_rel"},
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std::pair{Semantic::Seq_Cst, ".sc"},
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std::pair{Semantic::Volatile, ""},
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};
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return sem_map[sem];
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}
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inline std::string semantic_tag(Semantic sem)
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{
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static std::map sem_map = {
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std::pair{Semantic::Relaxed, "__atomic_cuda_relaxed"},
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std::pair{Semantic::Release, "__atomic_cuda_release"},
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std::pair{Semantic::Acquire, "__atomic_cuda_acquire"},
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std::pair{Semantic::Acq_Rel, "__atomic_cuda_acq_rel"},
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std::pair{Semantic::Seq_Cst, "__atomic_cuda_seq_cst"},
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std::pair{Semantic::Volatile, "__atomic_cuda_volatile"},
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};
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return sem_map[sem];
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}
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enum class Scope
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{
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Thread,
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Warp,
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CTA,
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Cluster,
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GPU,
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System,
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};
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inline std::string scope(Scope sco)
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{
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static std::map sco_map = {
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std::pair{Scope::Thread, ""},
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std::pair{Scope::Warp, ""},
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std::pair{Scope::CTA, ".cta"},
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std::pair{Scope::Cluster, ".cluster"},
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std::pair{Scope::GPU, ".gpu"},
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std::pair{Scope::System, ".sys"},
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};
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return sco_map[sco];
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}
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inline std::string scope_tag(Scope sco)
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{
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static std::map sco_map = {
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std::pair{Scope::Thread, "__thread_scope_thread_tag"},
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std::pair{Scope::Warp, ""},
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std::pair{Scope::CTA, "__thread_scope_block_tag"},
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std::pair{Scope::Cluster, "__thread_scope_cluster_tag"},
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std::pair{Scope::GPU, "__thread_scope_device_tag"},
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std::pair{Scope::System, "__thread_scope_system_tag"},
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};
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return sco_map[sco];
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}
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#endif // DEFINITIONS_H
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