I have two implementations: one with kernel that make sum one with kernel that make mul In the first i have sm_e: 98% and we_e: 87% In the second i have sm_e: 95% and we_e: 90% How could explain that?

Hi, Can you tell us what tool you used? And explain what does sm_e and we_e stand for, and how do you collect these?

nvidia profiler (nvprof) with metrics for compute capability 5.x: sm_efficiency: The percentage of time at least one warp is active on a specific multiprocessor warp_execution_efficiency: Ratio of the average active threads per warp to the maximum number of threads per warp supported on a multipr…

Thank you for reply. My question is about the difference of two kernels. The first kernel has better sm_e 98% instead of 95% of the second. I supposed that the first kernel will have better we_e than the second. But the first kernel has worst we_e 87% instead of 90%. Both metrics (sm_e and we_e…

sm_efficiency Is the ratio of cycles that a SM had at least 1 active warp to the total number of cycles executed in the measurement. It tells you how balanced your workload is. One should try to achieve this as max as possible. warp_execution_efficiency is the ratio of average active threads per wa…

Thank you for reply. I have multiple 32 threads per block. But i have if command with only true execution without else. In this case i have thread divergence from if. And the we_e it’s not 100%. I understand that you can not be sure how many warps is active per cycle.

Sm and we efficiency

Developer Tools Other Tools Visual Profiler and nvprof

mjain August 11, 2021, 9:06am 4

Thanks for providing these details. Additional details about these metrics can be found in the post I want to know means about CUPTI metrics in details.

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Sm and we efficiency

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