NVIDIA / NVIDIA/cuda-samples

What the meaning of 'CPU latency' in p2pBandwidthLatencyTest ?

Open
#230 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
C++
Stars
9.6k
Forks
2.4k
Avg merge
53m
Merged PRs (30d)
1

Description

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)

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with p2pBandwidthLatencyTest.cu at the linked lines 527-528 and read the surrounding latency measurement code. Compare the CPU and GPU sections in the reported output. Done means documenting what CPU latency represents and how it relates to the GPU latency values, including the A100 example.

Written by the indexing model from the issue text.

Assessment

Tech stack
cpp
Domain
performance
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.