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Query every CUDA device attribute without profiling, and benchmark kernels against your hardware's theoretical peak.
Python
#benchmarking#cuda#gpu#nsight-compute#triton
help wanted
Query every CUDA device attribute without profiling, and benchmark kernels against your hardware's theoretical peak.
Python
#benchmarking#cuda#gpu#nsight-compute#triton
windows: confirm nvcuda.dll and nvml.dll load paths 3 months ago
help wanted
Query every CUDA device attribute without profiling, and benchmark kernels against your hardware's theoretical peak.
Python
#benchmarking#cuda#gpu#nsight-compute#triton
compare: accept custom cards from a local json 3 months ago
enhancement good first issue
Query every CUDA device attribute without profiling, and benchmark kernels against your hardware's theoretical peak.
Python
#benchmarking#cuda#gpu#nsight-compute#triton
add the rtx 4070 family to the gpu database 3 months ago
good first issue
Query every CUDA device attribute without profiling, and benchmark kernels against your hardware's theoretical peak.
Python
#benchmarking#cuda#gpu#nsight-compute#triton