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Following is a snippet of my result with p2pBandwidthLatencyTest
1 P2P=Disabled Latency Matrix (us) 2 GPU 0 1 2 3 3 0 2.61 14.95 19.61 14.42 4 1 11.09 2.10 19.16 18.72 5 2 13.34 16.44 2.06 16.80 6 3 11.92 16.62 16.72 2.09 7 8 CPU 0 1 2 3 9 0 2.67 6.78 6.18 6.14 10 1 6.71 2.62 6.33 6.30 11 2 6.35 6.27 2.50 5.78 12 3 6.20 6.24 5.79 2.49 13 P2P=Enabled Latency (P2P Writes) Matrix (us) 14 GPU 0 1 2 3 15 0 2.59 2.31 1.85 1.86 16 1 2.26 2.10 1.88 1.83 17 2 1.81 1.83 2.07 2.31 18 3 1.84 1.81 2.23 2.09 19 20 CPU 0 1 2 3 21 0 2.71 1.91 1.97 1.93 22 1 2.11 2.77 2.16 2.00 23 2 1.92 1.76 2.58 1.94 24 3 1.84 1.91 1.88 2.55
When I enabled P2P, GPU latency decreases because they use NVLink (line 2 ~ 6, 14 ~ 18). By the way, what does CPU latency represent for? I don't know why they show it and sometime I don't understand the result. For instance, line number 23, CPU latency (1.92) is bigger than GPU latency(1.81) even if GPU clock encloses CPU clock https://github.com/NVIDIA/cuda-samples/blob/master/Samples/5_Domain_Specific/p2pBandwidthLatencyTest/p2pBandwidthLatencyTest.cu#L527C1-L528C1. which means GPU clock is always behind CPU clock.
My hardware spec is A100 80GB x 4 with NVLink Bridge (GPU 0-1, 2-3 connected)
The text was updated successfully, but these errors were encountered:
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Following is a snippet of my result with p2pBandwidthLatencyTest
When I enabled P2P, GPU latency decreases because they use NVLink (line 2 ~ 6, 14 ~ 18).
By the way, what does CPU latency represent for? I don't know why they show it and sometime I don't understand the result. For instance, line number 23, CPU latency (1.92) is bigger than GPU latency(1.81) even if GPU clock encloses CPU clock https://github.com/NVIDIA/cuda-samples/blob/master/Samples/5_Domain_Specific/p2pBandwidthLatencyTest/p2pBandwidthLatencyTest.cu#L527C1-L528C1. which means GPU clock is always behind CPU clock.
My hardware spec is A100 80GB x 4 with NVLink Bridge (GPU 0-1, 2-3 connected)
The text was updated successfully, but these errors were encountered: