NVIDIA/nvbench
1
0
Fork 0
mirror of https://github.com/NVIDIA/nvbench.git synced 2026-04-19 22:38:52 +00:00
Code Issues Packages Projects Releases Wiki Activity

cuda.nvbench -> cuda.bench

Browse Source 
Per PR review suggestion:
   - `cuda.parallel`    - device-wide algorithms/Thrust
   - `cuda.cooperative` - Cooperative algorithsm/CUB
   - `cuda.bench`       - Benchmarking/NVBench
This commit is contained in:
Oleksandr Pavlyk
2025-08-04 13:42:43 -05:00
parent c2a2acc9b6
commit b5e4b4ba31
19 changed files with 136 additions and 140 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
python/examples/auto_throughput.py
View File

@@ -16,12 +16,12 @@
import sys
import cuda.nvbench as nvbench
import cuda.bench as bench
import numpy as np
from numba import cuda
def as_cuda_stream(cs: nvbench.CudaStream) -> cuda.cudadrv.driver.Stream:
def as_cuda_stream(cs: bench.CudaStream) -> cuda.cudadrv.driver.Stream:
return cuda.external_stream(cs.addressof())
@@ -39,7 +39,7 @@ def make_throughput_kernel(items_per_thread: int) -> cuda.dispatcher.CUDADispatc
return kernel
def throughput_bench(state: nvbench.State) -> None:
def throughput_bench(state: bench.State) -> None:
stride = state.get_int64("Stride")
ipt = state.get_int64("ItemsPerThread")
@@ -58,7 +58,7 @@ def throughput_bench(state: nvbench.State) -> None:
krn = make_throughput_kernel(ipt)
def launcher(launch: nvbench.Launch):
def launcher(launch: bench.Launch):
exec_stream = as_cuda_stream(launch.get_stream())
krn[blocks_in_grid, threads_per_block, exec_stream, 0](
stride, elements, inp_arr, out_arr
@@ -68,8 +68,8 @@ def throughput_bench(state: nvbench.State) -> None:
if __name__ == "__main__":
b = nvbench.register(throughput_bench)
b = bench.register(throughput_bench)
b.add_int64_axis("Stride", [1, 2, 4])
b.add_int64_axis("ItemsPerThread", [1, 2, 3, 4])
nvbench.run_all_benchmarks(sys.argv)
bench.run_all_benchmarks(sys.argv)