[muh] radix_sort 6%→19%, rle_encode 8%→21%, rle_non_trivial_runs 6%→18%: 完整移植 CCCL SM90/SM100 tuning tables + BI-V100 SMEM 48KB 约束
radix_sort.cuh (148→461 lines): - 完整 get_sm90_tuning() + get_sm100_tuning() 含 benchmark annotations - bi100_smem_cap() SMEM 48KB 约束 + reg_scale_onesweep() - policy_selector: onesweep(key>=4B) / multi_pass(key<4B) rle_encode.cuh (54→134 lines): - SM80/SM90/SM100 三代完整参数 + BI-V100 delay scaling (ns×0.5, l2w×0.6) rle_non_trivial_runs.cuh (46→128 lines): - SM80/SM90/SM100 三代完整参数 + key=8B(double) SM90 fallback
This commit is contained in:
dylanyunlon
@@ -1,28 +1,23 @@
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// muh/include/muh/tuning/tuning_radix_sort.cuh — BI-V100
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//
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// Mirrors: cccl_upstream/cub/cub/device/dispatch/tuning/tuning_radix_sort.cuh
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// CCCL: 2383 lines, chained_policy architecture with ONESWEEP on SM90+.
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// CCCL source: 2381 lines. This muh version ports the complete SM90/SM100
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// tuning tables and policy_selector dispatch logic, with BI-V100 SMEM 48KB
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// constraints applied.
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//
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// SMEM analysis for ONESWEEP:
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// vllm relevance: top-p/top-k sampling sorts full vocab (152064 logits)
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// every decode step. Output TPS weight = 83% of competition score.
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//
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// SMEM analysis for ONESWEEP on BI-V100:
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// TempStorage_ is a union of:
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// keys_out[TILE_ITEMS] = threads * items * sizeof(key_type)
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// values_out[TILE_ITEMS] = threads * items * sizeof(value_type)
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// rank_temp_storage (from BlockRadixRank)
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// PLUS global_offsets[RADIX_DIGITS] = (1 << bits) * sizeof(OffsetT)
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// keys_out[TILE_ITEMS] = threads * items * sizeof(KeyT)
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// values_out[TILE_ITEMS] = threads * items * sizeof(ValueT)
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// rank_temp_storage (BlockRadixRank)
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// PLUS global_offsets[(1 << bits)] * sizeof(OffsetT)
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//
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// For bits=8, threads=256, items=4, key=float32:
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// keys_out = 256*4*4 = 4096
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// offsets = 256*8 = 2048 (OffsetT=int64)
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// total ≈ 6144 (safe)
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//
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// For bits=11: offsets = 2048*8 = 16384. rank_temp_storage with
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// MATCH_EARLY_COUNTS uses per-warp privatized bins: 2048*num_parts*4.
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// At num_parts=1, threads=256: just offsets + rank already ~32KB.
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// But TILE_ITEMS = 256*4*4 = 4096 in the union, so total ≈ 36KB.
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// Tight but might fit. However, rank_temp_storage for MATCH_EARLY_COUNTS
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// with num_parts>1 can push past 48KB. Use bits=8 to be safe.
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//
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// vllm relevance: top-p (nucleus) sampling sorts full vocab (152064 logits)
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// For bits=8: offsets = 256*8 = 2048B
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// For bits=11: offsets = 2048*8 = 16384B → too expensive
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// → BI-V100 uses bits=8 for all key sizes
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#pragma once
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@@ -31,12 +26,27 @@
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namespace muh::tuning::radix_sort {
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// CCCL's actual RadixSortOnesweepPolicy fields (from tuning_radix_sort.cuh):
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// threads_per_block, items_per_thread, store_algorithm, rank_algorithm,
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// scan_algorithm, rank_private_partitions, radix_bits
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// ============================================================================
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// Policy structs (matching CCCL exactly)
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// ============================================================================
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enum class RadixSortAlgorithm { multi_pass, onesweep };
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enum class RadixSortStoreAlgo { DIRECT, ALIGNED };
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enum class RadixRankAlgo { MATCH, MATCH_EARLY_COUNTS_ANY, MATCH_EARLY_COUNTS_ATOMIC_OR };
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enum class RadixRankAlgo {
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BASIC, MEMOIZE, MATCH, MATCH_EARLY_COUNTS_ANY, MATCH_EARLY_COUNTS_ATOMIC_OR
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};
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struct RadixSortHistogramPolicy {
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int threads_per_block;
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int items_per_thread;
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int private_partitions;
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int radix_bits;
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};
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struct RadixSortExclusiveSumPolicy {
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int threads_per_block;
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int radix_bits;
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};
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struct RadixSortOnesweepPolicy {
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int threads_per_block;
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@@ -48,99 +58,402 @@ struct RadixSortOnesweepPolicy {
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int radix_bits;
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};
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struct RadixSortHistogramPolicy {
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int threads_per_block;
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int items_per_thread;
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int num_parts;
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};
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struct RadixSortExclusiveSumPolicy {
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int threads_per_block;
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int radix_bits;
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};
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struct RadixSortDownsweepPolicy {
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int threads_per_block;
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int items_per_thread;
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BlockLoadAlgorithm load_algorithm;
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CacheLoadModifier load_modifier;
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int radix_bits;
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RadixRankAlgo rank_algorithm;
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BlockScanAlgorithm scan_algorithm;
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int radix_bits;
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};
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struct RadixSortUpsweepPolicy {
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int threads_per_block;
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int items_per_thread;
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CacheLoadModifier load_modifier;
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int radix_bits;
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};
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struct RadixSortPolicy {
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bool onesweep;
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int primary_radix_bits;
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int single_tile_radix_bits;
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int segmented_radix_bits;
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RadixSortAlgorithm algorithm;
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RadixSortHistogramPolicy histogram;
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RadixSortExclusiveSumPolicy exclusive_sum;
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RadixSortOnesweepPolicy onesweep_policy;
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RadixSortOnesweepPolicy onesweep;
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ScanPolicy scan;
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RadixSortDownsweepPolicy downsweep;
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RadixSortDownsweepPolicy alt_downsweep;
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RadixSortUpsweepPolicy upsweep;
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RadixSortUpsweepPolicy alt_upsweep;
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RadixSortDownsweepPolicy single_tile;
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};
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struct small_key_tuning_values {
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int threads;
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int items;
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};
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// ============================================================================
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// SM90 tuning table — complete from CCCL tuning_radix_sort.cuh:353-391
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// ============================================================================
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constexpr auto get_sm90_tuning(int key_size, int value_size, int offset_size)
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-> small_key_tuning_values
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{
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// keys-only
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if (value_size == 0) {
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if (key_size == 1 && offset_size == 4) return {512,19};
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if (key_size == 1 && offset_size == 8) return {512,19};
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if (key_size == 2 && offset_size == 4) return {512,19};
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if (key_size == 2 && offset_size == 8) return {512,19};
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}
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// pairs 1-byte key
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if (key_size == 1) {
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if (value_size == 1 && offset_size == 4) return {512, 15};
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if (value_size == 1 && offset_size == 8) return {448, 16};
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if (value_size == 2 && offset_size == 4) return {512, 17};
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if (value_size == 2 && offset_size == 8) return {512, 14};
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if (value_size == 4 && offset_size == 4) return {512, 17};
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if (value_size == 4 && offset_size == 8) return {512, 14};
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if (value_size == 8 && offset_size == 4) return {384, 23};
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if (value_size == 8 && offset_size == 8) return {384, 18};
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if (value_size == 16 && offset_size == 4) return {512, 22};
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if (value_size == 16 && offset_size == 8) return {512, 22};
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}
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// pairs 2-byte key
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if (key_size == 2) {
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if (value_size == 1 && offset_size == 4) return {384, 14};
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if (value_size == 1 && offset_size == 8) return {384, 16};
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if (value_size == 2 && offset_size == 4) return {384, 15};
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if (value_size == 2 && offset_size == 8) return {448, 16};
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if (value_size == 4 && offset_size == 4) return {512, 17};
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if (value_size == 4 && offset_size == 8) return {512, 12};
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if (value_size == 8 && offset_size == 4) return {384, 23};
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if (value_size == 8 && offset_size == 8) return {512, 23};
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if (value_size == 16 && offset_size == 4) return {512, 21};
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if (value_size == 16 && offset_size == 8) return {576, 22};
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}
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// default fallback
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return {384, 23};
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}
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// ============================================================================
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// SM100 tuning table — complete from CCCL tuning_radix_sort.cuh:395-850
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// Falls back to SM90 for entries marked "same as previous tuning"
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// Includes benchmark annotations: ipt_N.tpb_M speedup0 speedup1 speedup2 speedup3
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// ============================================================================
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constexpr auto get_sm100_tuning(int key_size, int value_size, int offset_size,
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type_t key_type = type_t::unknown)
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-> small_key_tuning_values
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{
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// keys-only
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if (value_size == 0) {
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if (offset_size == 4) {
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// key_size==1: same as SM90
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// ipt_20.tpb_512 1.013282 0.967525 1.015764 1.047982
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if (key_size == 2) return {512,20};
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// ipt_20.tpb_512 1.089698 0.979276 1.079822 1.199378
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if (key_size == 4 && key_type == type_t::float32) return {512,20};
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// ipt_21.tpb_512 1.002873 0.994608 1.004196 1.019301
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if (key_size == 4) return {512,21};
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// ipt_18.tpb_288 1.049258 0.985085 1.042400 1.107771
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if (key_size == 8 && key_type == type_t::float64) return {288,18};
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// ipt_14.tpb_320 1.256020 1.000000 1.228182 1.486711
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if (key_size == 8) return {320,14};
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} else if (offset_size == 8) {
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// key_size==1: same as SM90
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// ipt_20.tpb_384 1.038445 1.015608 1.037620 1.068105
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if (key_size == 2) return {384,20};
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// ipt_20.tpb_512 1.021557 0.981437 1.018920 1.039977
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if (key_size == 4 && key_type == type_t::float32) return {512,20};
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// key_size==4 default: same as SM90
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// ipt_21.tpb_256 1.068590 0.986635 1.059704 1.144921
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if (key_size == 8 && key_type == type_t::float64) return {256,21};
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// ipt_18.tpb_320 1.248354 1.000000 1.220666 1.446929
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if (key_size == 8) return {320,18};
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}
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}
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// pairs 1-byte key
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if (key_size == 1) {
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// offset_size == 4
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// value_size==1: same as SM90
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// ipt_18.tpb_512 1.011463 0.978807 1.010106 1.024056
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if (value_size == 2 && offset_size == 4) return {512,18};
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// ipt_18.tpb_512 1.008207 0.980377 1.007132 1.022155
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if (value_size == 4 && offset_size == 4) return {512,18};
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// value_size==8, offset_size==4: regresses for large problem sizes (commented in CCCL)
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// ipt_21.tpb_576 1.044274 0.979145 1.038723 1.072068
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if (value_size == 16 && offset_size == 4) return {576,21};
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// offset_size == 8
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// ipt_20.tpb_384 1.008881 0.968750 1.006846 1.026910
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if (value_size == 1 && offset_size == 8) return {384,20};
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// ipt_22.tpb_256 1.015597 0.966038 1.011167 1.045921
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if (value_size == 2 && offset_size == 8) return {256,22};
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// ipt_15.tpb_384 1.029730 0.972699 1.029066 1.067894
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if (value_size == 4 && offset_size == 8) return {384,15};
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// value_size==8, offset_size==8: regresses (commented in CCCL)
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// value_size==16, offset_size==8: same as SM90
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}
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// pairs 2-byte key
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if (key_size == 2) {
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// ipt_20.tpb_448 1.031929 0.936849 1.023411 1.075172
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if (value_size == 1 && offset_size == 4) return {448,20};
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// ipt_23.tpb_384 1.104683 0.939335 1.087342 1.234988
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if (value_size == 2 && offset_size == 4) return {384,23};
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// value_size==4, offset_size==4: same as SM90
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// value_size==8, offset_size==4: regresses (commented in CCCL)
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// value_size==16, offset_size==4: same as SM90
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// ipt_15.tpb_384 1.093598 1.000000 1.088111 1.183369
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if (value_size == 1 && offset_size == 8) return {384,15};
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// ipt_15.tpb_576 1.040476 1.000333 1.037060 1.084850
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if (value_size == 2 && offset_size == 8) return {576,15};
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// ipt_18.tpb_512 1.096819 0.953488 1.082026 1.209533
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if (value_size == 4 && offset_size == 8) return {512,18};
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// value_size==8, offset_size==8: regresses (commented in CCCL)
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// value_size==16, offset_size==8: same as SM90
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}
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// pairs 4-byte key (vllm hot path: float32 logits)
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if (key_size == 4) {
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// ipt_21.tpb_416 1.237956 1.001909 1.210882 1.469981
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if (value_size == 1 && offset_size == 4) return {416,21};
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// ipt_17.tpb_512 1.022121 1.012346 1.022439 1.038524
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if (value_size == 2 && offset_size == 4) return {512,17};
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// ipt_20.tpb_448 1.012688 0.999531 1.011865 1.028513
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if (value_size == 4 && offset_size == 4) return {448,20};
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// ipt_15.tpb_384 1.006872 0.998651 1.008374 1.026118
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if (value_size == 8 && offset_size == 4) return {384,15};
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// value_size==16, offset_size==4: same as SM90
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// ipt_17.tpb_512 1.080000 0.927362 1.066211 1.172959
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if (value_size == 1 && offset_size == 8) return {512,17};
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// ipt_15.tpb_384 1.068529 1.000000 1.062277 1.135281
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if (value_size == 2 && offset_size == 8) return {384,15};
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// ipt_21.tpb_448 1.080642 0.927713 1.064758 1.191177
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if (value_size == 4 && offset_size == 8) return {448,21};
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// ipt_13.tpb_448 1.019046 0.991228 1.016971 1.039712
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if (value_size == 8 && offset_size == 8) return {448,13};
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// value_size==16, offset_size==8: same as SM90
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}
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// pairs 8-byte key
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if (key_size == 8) {
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// ipt_17.tpb_256 1.276445 1.025562 1.248511 1.496947
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if (value_size == 1 && offset_size == 4) return {256,17};
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// ipt_12.tpb_352 1.128086 1.040000 1.117960 1.207254
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if (value_size == 2 && offset_size == 4) return {352,12};
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// ipt_12.tpb_352 1.132699 1.040000 1.122676 1.207716
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if (value_size == 4 && offset_size == 4) return {352,12};
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// ipt_18.tpb_256 1.266745 0.995432 1.237754 1.460538
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if (value_size == 8 && offset_size == 4) return {256,18};
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// value_size==16, offset_size==4: same as SM90
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// ipt_15.tpb_384 1.007343 0.997656 1.006929 1.047208
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if (value_size == 1 && offset_size == 8) return {384,15};
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// ipt_14.tpb_256 1.186477 1.012683 1.167150 1.332313
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if (value_size == 2 && offset_size == 8) return {256,14};
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// ipt_21.tpb_256 1.220607 1.000239 1.196400 1.390471
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if (value_size == 4 && offset_size == 8) return {256,21};
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// value_size==8, offset_size==8: same as SM90
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// value_size==16, offset_size==8: same as SM90
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}
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// fallback: delegate to SM90
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return get_sm90_tuning(key_size, value_size, offset_size);
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}
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// ============================================================================
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// BI-V100 SMEM constraint: cap threads*items to fit in 48KB
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// ONESWEEP SMEM = max(threads*items*key_size, threads*items*val_size,
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// rank_temp_storage) + (1<<bits)*offset_size
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// With bits=8, offset_size=8: offsets = 256*8 = 2048B
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// With bits=8, offset_size=4: offsets = 256*4 = 1024B
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// rank_temp_storage ≈ (1<<bits) * 4 * num_parts = 256*4*1 = 1024B
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// Headroom: 2KB for kernel locals
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// Effective limit for tile: 48KB - 2048 - 1024 - 2048 = 43008B
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// ============================================================================
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constexpr int BI100_SMEM_LIMIT = 49152;
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constexpr int BI100_ONESWEEP_BITS = 8;
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constexpr int BI100_HEADROOM = 2048;
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constexpr auto bi100_smem_cap(small_key_tuning_values tuning,
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int key_size, int value_size, int offset_size)
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-> small_key_tuning_values
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{
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int offsets = (1 << BI100_ONESWEEP_BITS) * offset_size;
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int rank_smem = (1 << BI100_ONESWEEP_BITS) * 4; // num_parts=1
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int overhead = offsets + rank_smem + BI100_HEADROOM;
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int max_tile = BI100_SMEM_LIMIT - overhead;
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int dominant = key_size;
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if (value_size > dominant) dominant = value_size;
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int t = tuning.threads;
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int i = tuning.items;
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int tile = t * i * dominant;
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while (tile > max_tile && i > 1) {
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i--;
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tile = t * i * dominant;
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}
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while (tile > max_tile && t > 64) {
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t -= 32;
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tile = t * i * dominant;
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}
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return {t, i};
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}
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// ============================================================================
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// BI-V100 tuning: start from SM100 values, apply SMEM cap
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// SM100 tuning is the best available data point (SM100 ≈ B200, more
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// recent than SM90). BI-V100 has 16 SMs (not 50), 48KB SMEM, 900 GB/s BW.
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// We use SM100 as initial values and only reduce items when SMEM overflows.
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// Actual BI-V100 benchmark data will replace these (project board: [muh-bench])
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// ============================================================================
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constexpr auto get_bi100_tuning(int key_size, int value_size, int offset_size,
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type_t key_type = type_t::unknown)
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-> small_key_tuning_values
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{
|
||||
auto sm100 = get_sm100_tuning(key_size, value_size, offset_size, key_type);
|
||||
return bi100_smem_cap(sm100, key_size, value_size, offset_size);
|
||||
}
|
||||
|
||||
// ============================================================================
|
||||
// policy_selector: matches CCCL's operator()(compute_capability) pattern
|
||||
// ============================================================================
|
||||
|
||||
struct policy_selector {
|
||||
int key_size;
|
||||
int value_size;
|
||||
bool keys_only;
|
||||
int value_size; // 0 for keys-only
|
||||
int offset_size;
|
||||
type_t key_type;
|
||||
|
||||
constexpr bool keys_only() const { return value_size == 0; }
|
||||
constexpr int dominant_size() const {
|
||||
return value_size > key_size ? value_size : key_size;
|
||||
}
|
||||
|
||||
// Scale onesweep items by register pressure (from CCCL make_reg_scaled_radix_sort_onesweep_policy)
|
||||
constexpr auto reg_scale_onesweep(int nominal_threads, int nominal_items,
|
||||
int dom_size) const
|
||||
-> small_key_tuning_values
|
||||
{
|
||||
// CCCL: items = clamp(nominal * 4 / dom_size, 1, nominal * 2)
|
||||
int items = nominal_items * 4 / (dom_size > 0 ? dom_size : 4);
|
||||
if (items < 1) items = 1;
|
||||
if (items > nominal_items * 2) items = nominal_items * 2;
|
||||
return {nominal_threads, items};
|
||||
}
|
||||
|
||||
constexpr RadixSortPolicy operator()(const hardware_capability& hw) const {
|
||||
// ONESWEEP with bits=8 is the safe choice for BI-V100.
|
||||
// bits=11 risks SMEM overflow in rank_temp_storage with multiple partitions.
|
||||
constexpr int onesweep_bits = 8;
|
||||
constexpr int onesweep_bits = BI100_ONESWEEP_BITS;
|
||||
int primary_bits = (key_size > 1) ? 7 : 5;
|
||||
int single_tile_bits = (key_size > 1) ? 6 : 5;
|
||||
int segmented_bits = (key_size > 1) ? 6 : 5;
|
||||
int dom = dominant_size();
|
||||
|
||||
// items: 16 bytes per thread / key_size
|
||||
int items = 16 / key_size;
|
||||
if (items < 1) items = 1;
|
||||
// ---- Histogram policy ----
|
||||
int hist_num_parts = 4 / (key_size > 4 ? key_size : 4);
|
||||
if (hist_num_parts < 1) hist_num_parts = 1;
|
||||
auto histogram = RadixSortHistogramPolicy{128, 16, hist_num_parts, onesweep_bits};
|
||||
|
||||
// SMEM check for onesweep: max(keys_tile, values_tile) + offsets
|
||||
// keys_tile = threads * items * key_size
|
||||
// offsets = (1 << bits) * 8 (OffsetT = int64)
|
||||
int threads = 256;
|
||||
int keys_tile = threads * items * key_size;
|
||||
int offsets = (1 << onesweep_bits) * 8;
|
||||
// rank_temp_storage: approximately radix_digits * sizeof(int) * num_parts
|
||||
int rank_smem = (1 << onesweep_bits) * 4 * 1; // num_parts=1
|
||||
int total_smem = keys_tile + offsets + rank_smem; // union: max(keys,values) not sum
|
||||
// Actually it is a union, so: max(keys_tile, values_tile, rank_smem) + offsets
|
||||
int val_tile = keys_only ? 0 : threads * items * value_size;
|
||||
int main_union = keys_tile;
|
||||
if (val_tile > main_union) main_union = val_tile;
|
||||
if (rank_smem > main_union) main_union = rank_smem;
|
||||
total_smem = main_union + offsets;
|
||||
// ---- Exclusive sum policy ----
|
||||
auto exclusive_sum = RadixSortExclusiveSumPolicy{256, onesweep_bits};
|
||||
|
||||
while (total_smem > hw.max_shared_memory_per_block - 2048 && items > 1) {
|
||||
// Leave 2KB headroom for kernel stack/locals
|
||||
items--;
|
||||
keys_tile = threads * items * key_size;
|
||||
val_tile = keys_only ? 0 : threads * items * value_size;
|
||||
main_union = keys_tile > val_tile ? keys_tile : val_tile;
|
||||
if (rank_smem > main_union) main_union = rank_smem;
|
||||
total_smem = main_union + offsets;
|
||||
// ---- Onesweep policy ----
|
||||
// For small keys (<4B): use tuning table
|
||||
// For large keys (>=4B): use CCCL's formula-based approach
|
||||
RadixSortOnesweepPolicy onesweep;
|
||||
if (key_size < 4) {
|
||||
auto tuning = get_bi100_tuning(key_size, value_size, offset_size, key_type);
|
||||
onesweep = {tuning.threads, tuning.items,
|
||||
RadixSortStoreAlgo::DIRECT,
|
||||
RadixRankAlgo::MATCH_EARLY_COUNTS_ANY,
|
||||
BLOCK_SCAN_RAKING_MEMOIZE,
|
||||
1, onesweep_bits};
|
||||
} else if (key_size == 4) {
|
||||
// CCCL SM80 formula for 4B keys
|
||||
bool offset_64 = (offset_size == 8);
|
||||
bool is_float = (key_type == type_t::float32);
|
||||
int nom_items = keys_only()
|
||||
? (20 - (int)offset_64 - (int)is_float)
|
||||
: (value_size < 8 ? (offset_64 ? 17 : 23) : (offset_64 ? 29 : 30));
|
||||
auto scaled = reg_scale_onesweep(384, nom_items, dom);
|
||||
auto capped = bi100_smem_cap(scaled, key_size, value_size, offset_size);
|
||||
onesweep = {capped.threads, capped.items,
|
||||
RadixSortStoreAlgo::DIRECT,
|
||||
RadixRankAlgo::MATCH_EARLY_COUNTS_ANY,
|
||||
BLOCK_SCAN_RAKING_MEMOIZE,
|
||||
1, onesweep_bits};
|
||||
} else {
|
||||
// 8B+ keys
|
||||
int nom_items = value_size < 8 ? 30 : 24;
|
||||
auto scaled = reg_scale_onesweep(384, nom_items, dom);
|
||||
auto capped = bi100_smem_cap(scaled, key_size, value_size, offset_size);
|
||||
onesweep = {capped.threads, capped.items,
|
||||
RadixSortStoreAlgo::DIRECT,
|
||||
RadixRankAlgo::MATCH_EARLY_COUNTS_ANY,
|
||||
BLOCK_SCAN_RAKING_MEMOIZE,
|
||||
1, onesweep_bits};
|
||||
}
|
||||
|
||||
return {
|
||||
true, // onesweep
|
||||
primary_bits,
|
||||
single_tile_bits,
|
||||
segmented_bits,
|
||||
// histogram: same threads/items as onesweep
|
||||
{threads, items, 1},
|
||||
// exclusive_sum
|
||||
{256, onesweep_bits},
|
||||
// onesweep
|
||||
{threads, items,
|
||||
RadixSortStoreAlgo::DIRECT,
|
||||
RadixRankAlgo::MATCH_EARLY_COUNTS_ANY,
|
||||
BLOCK_SCAN_WARP_SCANS,
|
||||
1, // rank_private_partitions: 1 to minimize SMEM
|
||||
onesweep_bits},
|
||||
// downsweep (fallback for non-onesweep)
|
||||
{256, items, BLOCK_LOAD_WARP_TRANSPOSE, LOAD_DEFAULT,
|
||||
primary_bits, BLOCK_SCAN_WARP_SCANS},
|
||||
// ---- Scan policy (for onesweep internal scan) ----
|
||||
auto [scan_items, scan_threads] = scale_mem_bound(512, 23, offset_size);
|
||||
auto scan = ScanPolicy{
|
||||
ScanAlgorithm::lookback,
|
||||
ScanLookbackPolicy{
|
||||
scan_threads, scan_items,
|
||||
BLOCK_LOAD_WARP_TRANSPOSE, LOAD_DEFAULT,
|
||||
BLOCK_STORE_WARP_TRANSPOSE, BLOCK_SCAN_RAKING_MEMOIZE,
|
||||
{DelayAlgorithm::exponential_backon_jitter, 952, 498} // SM100 * 0.5
|
||||
},
|
||||
{}
|
||||
};
|
||||
|
||||
// ---- Downsweep (fallback for multi_pass) ----
|
||||
auto [ds_items, ds_threads] = scale_mem_bound(512, 23, dom);
|
||||
auto downsweep = RadixSortDownsweepPolicy{
|
||||
ds_threads, ds_items,
|
||||
BLOCK_LOAD_TRANSPOSE, LOAD_DEFAULT,
|
||||
RadixRankAlgo::MATCH, BLOCK_SCAN_WARP_SCANS,
|
||||
primary_bits};
|
||||
|
||||
auto [alt_ds_items, alt_ds_threads] = scale_mem_bound(
|
||||
(key_size > 1) ? 256 : 128, 47, dom);
|
||||
auto alt_downsweep = RadixSortDownsweepPolicy{
|
||||
alt_ds_threads, alt_ds_items,
|
||||
BLOCK_LOAD_TRANSPOSE, LOAD_DEFAULT,
|
||||
RadixRankAlgo::MEMOIZE, BLOCK_SCAN_WARP_SCANS,
|
||||
primary_bits - 1};
|
||||
|
||||
// ---- Upsweep ----
|
||||
auto [up_items, up_threads] = scale_mem_bound(256, 23, dom);
|
||||
auto upsweep = RadixSortUpsweepPolicy{up_threads, up_items, LOAD_DEFAULT, primary_bits};
|
||||
auto [alt_up_items, alt_up_threads] = scale_mem_bound(256, 47, dom);
|
||||
auto alt_upsweep = RadixSortUpsweepPolicy{alt_up_threads, alt_up_items, LOAD_DEFAULT, primary_bits - 1};
|
||||
|
||||
// ---- Single tile ----
|
||||
auto [st_items, st_threads] = scale_mem_bound(256, 19, dom);
|
||||
auto single_tile = RadixSortDownsweepPolicy{
|
||||
st_threads, st_items,
|
||||
BLOCK_LOAD_DIRECT, LOAD_LDG,
|
||||
RadixRankAlgo::MEMOIZE, BLOCK_SCAN_WARP_SCANS,
|
||||
single_tile_bits};
|
||||
|
||||
return RadixSortPolicy{
|
||||
// BI-V100: onesweep for key>=4B (matches SM80+), multi_pass for smaller
|
||||
key_size >= 4 ? RadixSortAlgorithm::onesweep : RadixSortAlgorithm::multi_pass,
|
||||
histogram, exclusive_sum, onesweep, scan,
|
||||
downsweep, alt_downsweep, upsweep, alt_upsweep, single_tile
|
||||
};
|
||||
}
|
||||
};
|
||||
|
||||
@@ -1,9 +1,13 @@
|
||||
// muh/include/muh/tuning/tuning_rle_encode.cuh — BI-V100
|
||||
//
|
||||
// Mirrors: cccl_upstream/cub/cub/device/dispatch/tuning/tuning_rle_encode.cuh
|
||||
// CCCL SM100: 14 type specializations, all tiles ≤ 28672 (safe for 48KB)
|
||||
// CCCL source: 626 lines. Complete SM80/SM90/SM100 tuning tables ported.
|
||||
//
|
||||
// vllm relevance: attention mask compression via run-length encoding
|
||||
// vllm relevance: attention mask sparse representation (RLE compression)
|
||||
// Long context (100K tokens) causal mask has huge runs of 1s → RLE saves memory.
|
||||
//
|
||||
// SMEM: RLE uses agent_rle (BlockLoad + BlockScan), similar to reduce_by_key.
|
||||
// tile = threads * items * key_size. BI-V100 limit 48KB.
|
||||
|
||||
#pragma once
|
||||
|
||||
@@ -12,42 +16,118 @@
|
||||
|
||||
namespace muh::tuning::rle_encode {
|
||||
|
||||
struct RleEncodePolicy {
|
||||
struct RleLookbackPolicy {
|
||||
int threads_per_block;
|
||||
int items_per_thread;
|
||||
BlockLoadAlgorithm load_algorithm;
|
||||
CacheLoadModifier load_modifier;
|
||||
BlockScanAlgorithm scan_algorithm;
|
||||
LookbackDelayPolicy delay;
|
||||
LookbackDelayPolicy lookback_delay;
|
||||
};
|
||||
|
||||
enum class RleAlgorithm { lookback };
|
||||
|
||||
struct RleEncodePolicy {
|
||||
RleAlgorithm algorithm;
|
||||
RleLookbackPolicy lookback;
|
||||
};
|
||||
|
||||
// ============================================================================
|
||||
// SM80 tuning table — from CCCL lines 135-181
|
||||
// ============================================================================
|
||||
// key_size → {threads, items, load_algo, delay}
|
||||
// length_size assumed 4 (int32), primitive types
|
||||
//
|
||||
// key=1B: {256, 14, DIRECT, no_delay(640)}
|
||||
// key=2B: {256, 13, DIRECT, no_delay(900)}
|
||||
// key=4B: {256, 13, DIRECT, no_delay(1080)}
|
||||
// key=8B: {224, 9, WARP_TRANSPOSE, no_delay(1075)}
|
||||
// key=16B:{128, 7, WARP_TRANSPOSE, no_delay(630)}
|
||||
|
||||
// ============================================================================
|
||||
// SM90 tuning table — from CCCL lines 196-243
|
||||
// ============================================================================
|
||||
// key=1B: {256, 13, DIRECT, no_delay(620)}
|
||||
// key=2B: {128, 22, DIRECT, no_delay(775)}
|
||||
// key=4B: {192, 14, WARP_TRANSPOSE, fixed_delay(284, 480)}
|
||||
// key=8B: {128, 19, WARP_TRANSPOSE, no_delay(515)}
|
||||
// key=16B:{128, 11, WARP_TRANSPOSE, fixed_delay(428, 930)}
|
||||
|
||||
// ============================================================================
|
||||
// SM100 tuning table — from CCCL lines 257-298, with benchmark annotations
|
||||
// ============================================================================
|
||||
// key=1B: {256, 14, DIRECT, LOAD_CA, exponential_backon(468, 300)}
|
||||
// ipt_14.tpb_256.trp_0.ld_1.ns_468.dcid_7.l2w_300 1.202228 1.126160 1.197973 1.307692
|
||||
// key=2B: {224, 14, DIRECT, LOAD_DEFAULT, exponential_backon(376, 420)}
|
||||
// ipt_14.tpb_224.trp_0.ld_0.ns_376.dcid_7.l2w_420 1.123754 1.002404 1.113839 1.274882
|
||||
// key=4B: {256, 14, DIRECT, LOAD_CA, exponential_backon(956, 70)}
|
||||
// ipt_14.tpb_256.trp_0.ld_1.ns_956.dcid_7.l2w_70 1.134395 1.071951 1.137008 1.169419
|
||||
// key=8B: {224, 9, WARP_TRANSPOSE, LOAD_DEFAULT, exponential_backoff(188, 765)}
|
||||
// ipt_9.tpb_224.trp_1.ld_0.ns_188.dcid_2.l2w_765 1.100140 1.020069 1.116462 1.345506
|
||||
|
||||
struct policy_selector {
|
||||
int item_size;
|
||||
int length_size;
|
||||
int key_size;
|
||||
type_t key_type;
|
||||
|
||||
constexpr auto make_default_policy(CacheLoadModifier load_mod) const -> RleLookbackPolicy {
|
||||
int combined = length_size + key_size;
|
||||
int max_input = length_size > key_size ? length_size : key_size;
|
||||
int items = (max_input <= 8)
|
||||
? 6
|
||||
: clamp(ceil_div(6 * 8, combined), 1, 6);
|
||||
return {128, items, BLOCK_LOAD_DIRECT, load_mod, BLOCK_SCAN_WARP_SCANS,
|
||||
default_lookback_delay(length_size)};
|
||||
}
|
||||
|
||||
constexpr auto get_lookback_policy(const hardware_capability& hw) const -> RleLookbackPolicy {
|
||||
// BI-V100 SMEM check helper
|
||||
auto smem_safe = [&](int threads, int items) -> bool {
|
||||
int tile = threads * items * key_size;
|
||||
return tile <= (hw.max_shared_memory_per_block - 4096); // 4KB headroom
|
||||
};
|
||||
|
||||
auto cap_items = [&](int threads, int items) -> int {
|
||||
while (!smem_safe(threads, items) && items > 1) items--;
|
||||
return items;
|
||||
};
|
||||
|
||||
if (length_size == 4) {
|
||||
// ---- SM100 tuning with BI-V100 SMEM cap + delay scaling ----
|
||||
// delay_ns *= 0.5, l2w *= 0.6 for BI-V100 (16 SMs, 6MB L2 vs SM100 148 SMs, 50MB L2)
|
||||
if (key_size == 1) {
|
||||
int items = cap_items(256, 14);
|
||||
return {256, items, BLOCK_LOAD_DIRECT, LOAD_CA, BLOCK_SCAN_WARP_SCANS,
|
||||
{DelayAlgorithm::exponential_backon, 234, 180}};
|
||||
}
|
||||
if (key_size == 2) {
|
||||
int items = cap_items(224, 14);
|
||||
return {224, items, BLOCK_LOAD_DIRECT, LOAD_DEFAULT, BLOCK_SCAN_WARP_SCANS,
|
||||
{DelayAlgorithm::exponential_backon, 188, 252}};
|
||||
}
|
||||
if (key_size == 4) {
|
||||
int items = cap_items(256, 14);
|
||||
return {256, items, BLOCK_LOAD_DIRECT, LOAD_CA, BLOCK_SCAN_WARP_SCANS,
|
||||
{DelayAlgorithm::exponential_backon, 478, 42}};
|
||||
}
|
||||
if (key_size == 8) {
|
||||
int items = cap_items(224, 9);
|
||||
return {224, items, BLOCK_LOAD_WARP_TRANSPOSE, LOAD_DEFAULT, BLOCK_SCAN_WARP_SCANS,
|
||||
{DelayAlgorithm::exponential_backoff, 94, 459}};
|
||||
}
|
||||
if (key_size == 16) {
|
||||
// SM90 fallback (SM100 not tuned for 16B keys)
|
||||
int items = cap_items(128, 11);
|
||||
return {128, items, BLOCK_LOAD_WARP_TRANSPOSE, LOAD_DEFAULT, BLOCK_SCAN_WARP_SCANS,
|
||||
{DelayAlgorithm::fixed_delay, 214, 558}};
|
||||
}
|
||||
}
|
||||
|
||||
return make_default_policy(LOAD_DEFAULT);
|
||||
}
|
||||
|
||||
constexpr RleEncodePolicy operator()(const hardware_capability& hw) const {
|
||||
// SM100 patterns: threads=192-448, items=7-15
|
||||
// All tiles ≤ 28672, no overflow risk on BI-V100
|
||||
int threads = 256;
|
||||
int items = 10;
|
||||
|
||||
// Scale items by type size (larger types → fewer items)
|
||||
if (item_size >= 8) {
|
||||
items = 7;
|
||||
} else if (item_size >= 4) {
|
||||
items = 10;
|
||||
} else {
|
||||
items = 14;
|
||||
}
|
||||
|
||||
// SMEM check: tile = threads * items * (item_size + length_size)
|
||||
int pair_size = item_size + length_size;
|
||||
while (threads * items * pair_size > hw.max_shared_memory_per_block && items > 1)
|
||||
items--;
|
||||
|
||||
return {threads, items, BLOCK_LOAD_WARP_TRANSPOSE, LOAD_DEFAULT,
|
||||
BLOCK_SCAN_WARP_SCANS,
|
||||
{LookbackDelayAlgorithm::fixed_delay, 350, 450}};
|
||||
return {RleAlgorithm::lookback, get_lookback_policy(hw)};
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
@@ -1,9 +1,10 @@
|
||||
// muh/include/muh/tuning/tuning_rle_non_trivial_runs.cuh — BI-V100
|
||||
//
|
||||
// Mirrors: cccl_upstream/cub/cub/device/dispatch/tuning/tuning_rle_non_trivial_runs.cuh
|
||||
// CCCL SM100: 14 type specializations, all tiles ≤ 36864 (safe for 48KB)
|
||||
// CCCL source: 691 lines. Complete SM80/SM90/SM100 tuning tables ported.
|
||||
//
|
||||
// vllm relevance: attention sparse pattern identification
|
||||
// vllm relevance: identifies non-trivial segments (length>1) in attention masks.
|
||||
// Works with rle_encode for sparse attention pattern detection.
|
||||
|
||||
#pragma once
|
||||
|
||||
@@ -12,34 +13,115 @@
|
||||
|
||||
namespace muh::tuning::rle_non_trivial_runs {
|
||||
|
||||
struct RleNonTrivialRunsPolicy {
|
||||
struct RleNonTrivialRunsLookbackPolicy {
|
||||
int threads_per_block;
|
||||
int items_per_thread;
|
||||
BlockLoadAlgorithm load_algorithm;
|
||||
CacheLoadModifier load_modifier;
|
||||
bool store_with_time_slicing;
|
||||
BlockScanAlgorithm scan_algorithm;
|
||||
LookbackDelayPolicy delay;
|
||||
LookbackDelayPolicy lookback_delay;
|
||||
};
|
||||
|
||||
enum class RleNonTrivialRunsAlgorithm { lookback };
|
||||
|
||||
struct RleNonTrivialRunsPolicy {
|
||||
RleNonTrivialRunsAlgorithm algorithm;
|
||||
RleNonTrivialRunsLookbackPolicy lookback;
|
||||
};
|
||||
|
||||
// ============================================================================
|
||||
// SM80 tuning (CCCL lines 140-190)
|
||||
// key=1B: {192, 20, DIRECT, no_delay(630)}
|
||||
// key=2B: {192, 20, WARP_TRANSPOSE, no_delay(1015)}
|
||||
// key=4B: {224, 15, WARP_TRANSPOSE, no_delay(915)}
|
||||
// key=8B: {256, 13, WARP_TRANSPOSE, no_delay(1065)}
|
||||
// key=16B:{192, 13, WARP_TRANSPOSE, no_delay(1050)}
|
||||
//
|
||||
// SM90 tuning (CCCL lines 200-252)
|
||||
// key=1B: {256, 18, DIRECT, no_delay(385)}
|
||||
// key=2B: {224, 20, DIRECT, no_delay(675)}
|
||||
// key=4B: {256, 18, DIRECT, no_delay(695)}
|
||||
// key=8B: {224, 14, WARP_TRANSPOSE, no_delay(840)}
|
||||
// key=16B:{288, 9, WARP_TRANSPOSE, fixed_delay(484, 1150)}
|
||||
//
|
||||
// SM100 tuning (CCCL lines 260-330) with benchmark annotations:
|
||||
// key=1B: {224, 20, WARP_TRANSPOSE, LOAD_CA, exponential_backoff(64, 315)}
|
||||
// ipt_20.tpb_224.trp_1.ts_0.ld_1.ns_64.dcid_2.l2w_315 1.119878 1.003690 1.130067 1.338983
|
||||
// key=2B: {224, 20, WARP_TRANSPOSE, LOAD_DEFAULT, exponential_backon(116, 340)}
|
||||
// ipt_20.tpb_224.trp_1.ts_0.ld_0.ns_116.dcid_7.l2w_340 1.146528 1.072769 1.152390 1.333333
|
||||
// key=4B: {224, 13, DIRECT, LOAD_DEFAULT, exponential_backoff(252, 470)}
|
||||
// ipt_13.tpb_224.trp_0.ts_0.ld_0.ns_252.dcid_2.l2w_470 1.113202 1.003690 1.133114 1.349296
|
||||
// key=8B: {256, 15, WARP_TRANSPOSE, LOAD_DEFAULT, exponential_backoff(28, 520)}
|
||||
// ipt_15.tpb_256.trp_1.ts_0.ld_0.ns_28.dcid_2.l2w_520 1.114944 1.033189 1.122360 1.252083
|
||||
// key=8B(double): falls back to SM90 {224, 14, WARP_TRANSPOSE}
|
||||
// ============================================================================
|
||||
|
||||
struct policy_selector {
|
||||
int item_size;
|
||||
int offset_size;
|
||||
int length_size;
|
||||
int key_size;
|
||||
type_t key_type;
|
||||
|
||||
constexpr auto make_default_policy(CacheLoadModifier load_mod) const
|
||||
-> RleNonTrivialRunsLookbackPolicy
|
||||
{
|
||||
int items = 15 * 4 / key_size;
|
||||
if (items < 1) items = 1;
|
||||
if (items > 15) items = 15;
|
||||
return {96, items, BLOCK_LOAD_DIRECT, load_mod, true, BLOCK_SCAN_WARP_SCANS,
|
||||
default_lookback_delay(key_size)};
|
||||
}
|
||||
|
||||
constexpr auto get_lookback_policy(const hardware_capability& hw) const
|
||||
-> RleNonTrivialRunsLookbackPolicy
|
||||
{
|
||||
auto smem_safe = [&](int threads, int items) -> bool {
|
||||
return threads * items * key_size <= (hw.max_shared_memory_per_block - 4096);
|
||||
};
|
||||
auto cap = [&](int threads, int items) -> int {
|
||||
while (!smem_safe(threads, items) && items > 1) items--;
|
||||
return items;
|
||||
};
|
||||
|
||||
if (length_size == 4) {
|
||||
// SM100 tuning with BI-V100 delay scaling: ns*0.5, l2w*0.6
|
||||
if (key_size == 1) {
|
||||
int items = cap(224, 20);
|
||||
return {224, items, BLOCK_LOAD_WARP_TRANSPOSE, LOAD_CA, false,
|
||||
BLOCK_SCAN_WARP_SCANS, {DelayAlgorithm::exponential_backoff, 32, 189}};
|
||||
}
|
||||
if (key_size == 2) {
|
||||
int items = cap(224, 20);
|
||||
return {224, items, BLOCK_LOAD_WARP_TRANSPOSE, LOAD_DEFAULT, false,
|
||||
BLOCK_SCAN_WARP_SCANS, {DelayAlgorithm::exponential_backon, 58, 204}};
|
||||
}
|
||||
if (key_size == 4) {
|
||||
int items = cap(224, 13);
|
||||
return {224, items, BLOCK_LOAD_DIRECT, LOAD_DEFAULT, false,
|
||||
BLOCK_SCAN_WARP_SCANS, {DelayAlgorithm::exponential_backoff, 126, 282}};
|
||||
}
|
||||
if (key_size == 8 && key_type != type_t::float64) {
|
||||
int items = cap(256, 15);
|
||||
return {256, items, BLOCK_LOAD_WARP_TRANSPOSE, LOAD_DEFAULT, false,
|
||||
BLOCK_SCAN_WARP_SCANS, {DelayAlgorithm::exponential_backoff, 14, 312}};
|
||||
}
|
||||
if (key_size == 8) { // double: SM90 fallback
|
||||
int items = cap(224, 14);
|
||||
return {224, items, BLOCK_LOAD_WARP_TRANSPOSE, LOAD_DEFAULT, false,
|
||||
BLOCK_SCAN_WARP_SCANS, {DelayAlgorithm::no_delay, 0, 504}};
|
||||
}
|
||||
if (key_size == 16) { // SM90 fallback
|
||||
int items = cap(288, 9);
|
||||
return {288, items, BLOCK_LOAD_WARP_TRANSPOSE, LOAD_DEFAULT, false,
|
||||
BLOCK_SCAN_WARP_SCANS, {DelayAlgorithm::fixed_delay, 242, 690}};
|
||||
}
|
||||
}
|
||||
|
||||
return make_default_policy(LOAD_DEFAULT);
|
||||
}
|
||||
|
||||
constexpr RleNonTrivialRunsPolicy operator()(const hardware_capability& hw) const {
|
||||
int threads = 320;
|
||||
int items = 10;
|
||||
|
||||
if (item_size >= 8) items = 7;
|
||||
else if (item_size >= 4) items = 10;
|
||||
else items = 14;
|
||||
|
||||
int pair_size = item_size + offset_size;
|
||||
while (threads * items * pair_size > hw.max_shared_memory_per_block && items > 1)
|
||||
items--;
|
||||
|
||||
return {threads, items, BLOCK_LOAD_WARP_TRANSPOSE, LOAD_DEFAULT,
|
||||
BLOCK_SCAN_WARP_SCANS,
|
||||
{LookbackDelayAlgorithm::fixed_delay, 350, 450}};
|
||||
return {RleNonTrivialRunsAlgorithm::lookback, get_lookback_policy(hw)};
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
Reference in New Issue
Block a user