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seg_wmma_256.cu
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seg_wmma_256.cu
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#include <benchmark/benchmark.h>
#include "init/init.hpp"
#include "prefixsum/args.hpp"
#include "utils/utils.hpp"
#include "kernel.cuh"
using namespace wmma_prefixsum;
template <int SEGMENTS_PER_WARP, int WARPS_PER_BLOCK>
void tryCUDA_WMMA_SEGMENTED_PREFIXSUM_256(benchmark::State &state) {
const size_t num_segments = state.range(0);
const size_t segment_size = state.range(1);
if (segment_size != WMMA_TILE_SIZE) {
state.SkipWithError("segment size must be WMMA_TILE_SIZE (256)");
}
const int BLOCK_DIM = WARPS_PER_BLOCK * WARP_SIZE;
const size_t num_elements = num_segments * segment_size;
const int segments_per_block = WARPS_PER_BLOCK * SEGMENTS_PER_WARP;
half *d_in_fp16;
half *d_out;
try {
PRINT_IF_ERROR(cudaMalloc(&d_in_fp16, num_elements * sizeof(half)));
PRINT_IF_ERROR(cudaMalloc(&d_out, num_elements * sizeof(half)));
cuda_memory_set(d_in_fp16, 0.001f, num_elements);
dim3 gridDim, blockDim;
blockDim.x = BLOCK_DIM;
gridDim.x = (num_segments + segments_per_block - 1) / segments_per_block;
if (gridDim.x >= CUDA_MAX_GRID_SIZE) {
state.SkipWithError(
fmt::format("gridDim.x={} is greater than CUDA_MAX_GRID_SIZE", gridDim.x)
.c_str());
return;
}
cudaEvent_t start, stop;
PRINT_IF_ERROR(cudaEventCreate(&start));
PRINT_IF_ERROR(cudaEventCreate(&stop));
defer(cudaEventDestroy(start));
defer(cudaEventDestroy(stop));
for (auto _ : state) {
PRINT_IF_ERROR(cudaEventRecord(start));
compute_wmma_segmented_prefixsum_256<SEGMENTS_PER_WARP, WARPS_PER_BLOCK, BLOCK_DIM>
<<<gridDim, blockDim>>>(d_in_fp16, d_out, num_segments);
PRINT_IF_ERROR(cudaEventRecord(stop));
PRINT_IF_ERROR(cudaEventSynchronize(stop));
state.PauseTiming();
float msecTotal = 0.0f;
PRINT_IF_ERROR(cudaEventElapsedTime(&msecTotal, start, stop));
state.SetIterationTime(msecTotal / 1000);
state.ResumeTiming();
}
state.counters.insert({{"num_segments", num_segments},
{"segment_size", segment_size},
{"num_elements", num_segments * segment_size},
{"segments_per_warp", SEGMENTS_PER_WARP},
{"warps_per_block", WARPS_PER_BLOCK},
{"flops",
{state.iterations() * 1.0 * num_segments * segment_size,
benchmark::Counter::kAvgThreadsRate}}});
#if 0
half *h_out = new half[num_elements];
PRINT_IF_ERROR(cudaMemcpy(h_out, d_out, num_elements * sizeof(half),
cudaMemcpyDeviceToHost));
int errors = 0;
for (int j = 0; j < num_segments; j++) {
float correct_segment_sum = 0;
for (int i = 0; i < segment_size; i++) {
correct_segment_sum += h_in[j * segment_size + i];
if (fabs(half_to_float(h_out[j * segment_size + i]) -
correct_segment_sum) > 0.01) {
errors++;
if (errors < 10) {
printf("Expected %f, get h_out[%d] = %f\n", correct_segment_sum, i,
half_to_float(h_out[j * segment_size + i]));
}
}
}
}
if (errors > 0) {
printf("CUDA_WMMA_SEGMENTED_PREFIXSUM_256 does not agree with SEQUENTIAL! "
"%d errors!\n",
errors);
} else {
printf("Results verified: they agree.\n\n");
}
delete h_out;
#endif
cudaFree(d_in_fp16);
cudaFree(d_out);
} catch (...) {
cudaFree(d_in_fp16);
cudaFree(d_out);
cudaDeviceReset();
const auto p = std::current_exception();
std::rethrow_exception(p);
}
}
template <int SEGMENTS_PER_WARP, int WARPS_PER_BLOCK>
void CUDA_WMMA_SEGMENTED_PREFIXSUM_256(benchmark::State &state) {
cudaDeviceReset();
try {
tryCUDA_WMMA_SEGMENTED_PREFIXSUM_256<SEGMENTS_PER_WARP, WARPS_PER_BLOCK>(state);
} catch (const std::exception &e) {
state.SkipWithError(e.what());
} catch (const std::string &e) {
state.SkipWithError(e.c_str());
} catch (...) {
state.SkipWithError("unknown exception");
}
}
#define RUN_CUDA_WMMA0(SEGMENTS_PER_WARP, WARPS_PER_BLOCK) \
BENCHMARK_TEMPLATE( \
CUDA_WMMA_SEGMENTED_PREFIXSUM_256, SEGMENTS_PER_WARP, WARPS_PER_BLOCK) \
->SEG_256_ARGS() \
->UseManualTime();
#define RUN_CUDA_WMMA(SEGMENTS_PER_WARP) \
RUN_CUDA_WMMA0(SEGMENTS_PER_WARP, 1); \
RUN_CUDA_WMMA0(SEGMENTS_PER_WARP, 2); \
RUN_CUDA_WMMA0(SEGMENTS_PER_WARP, 4); \
RUN_CUDA_WMMA0(SEGMENTS_PER_WARP, 8);
RUN_CUDA_WMMA(1);
RUN_CUDA_WMMA(2);
RUN_CUDA_WMMA(4);
RUN_CUDA_WMMA(8);