[GH-ISSUE #197] How much performance can TMA optimization gain on intra-node normal kernel? #160

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opened 2026-10-26 09:55:24 +00:00 by bsakaguchi · 3 comments
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Originally created by @wzc-wuzhicheng on GitHub (Jun 9, 2025).
Original GitHub issue: https://github.com/deepseek-ai/DeepEP/issues/197

I notice that you add TMA optimization on intra-node normal kernels at pr https://github.com/deepseek-ai/DeepEP/pull/191.

I tested it in my environment by python tests/test_intranode.py but found no significant performance improvement. I'm not sure if I missed some steps, can you provide any performance data for reference? Thank you very much.

What's more, can TMA optimization be applied to internode normal kernel and How much potential performance improvement will it gain ?

Originally created by @wzc-wuzhicheng on GitHub (Jun 9, 2025). Original GitHub issue: https://github.com/deepseek-ai/DeepEP/issues/197 I notice that you add TMA optimization on intra-node normal kernels at pr https://github.com/deepseek-ai/DeepEP/pull/191. I tested it in my environment by `python tests/test_intranode.py` but found no significant performance improvement. I'm not sure if I missed some steps, can you provide any performance data for reference? Thank you very much. What's more, can TMA optimization be applied to internode normal kernel and How much potential performance improvement will it gain ?
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@alpha-baby commented on GitHub (Jun 10, 2025):

I have the same question, can you help me to answer it? Thank you very much. @LyricZhao

<!-- gh-comment-id:2958134579 --> @alpha-baby commented on GitHub (Jun 10, 2025): I have the same question, can you help me to answer it? Thank you very much. @LyricZhao
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@LyricZhao commented on GitHub (Jun 10, 2025):

I tested it in my environment by python tests/test_intranode.py but found no significant performance improvement. I'm not sure if I missed some steps, can you provide any performance data for reference? Thank you very much.

It is as expected. See https://github.com/deepseek-ai/DeepEP/issues/184#issuecomment-2955323318.

What's more, can TMA optimization be applied to internode normal kernel and How much potential performance improvement will it gain?

Yes, and we are still working on this. The exact number will be released later, maybe in 2 weeks.

<!-- gh-comment-id:2958183555 --> @LyricZhao commented on GitHub (Jun 10, 2025): > I tested it in my environment by python tests/test_intranode.py but found no significant performance improvement. I'm not sure if I missed some steps, can you provide any performance data for reference? Thank you very much. It is as expected. See https://github.com/deepseek-ai/DeepEP/issues/184#issuecomment-2955323318. > What's more, can TMA optimization be applied to internode normal kernel and How much potential performance improvement will it gain? Yes, and we are still working on this. The exact number will be released later, maybe in 2 weeks.
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@wzc-wuzhicheng commented on GitHub (Jun 11, 2025):

I tested it in my environment by python tests/test_intranode.py but found no significant performance improvement. I'm not sure if I missed some steps, can you provide any performance data for reference? Thank you very much.

It is as expected. See #184 (comment).

What's more, can TMA optimization be applied to internode normal kernel and How much potential performance improvement will it gain?

Yes, and we are still working on this. The exact number will be released later, maybe in 2 weeks.

OK, Thanks for your reply!

<!-- gh-comment-id:2961391478 --> @wzc-wuzhicheng commented on GitHub (Jun 11, 2025): > > I tested it in my environment by python tests/test_intranode.py but found no significant performance improvement. I'm not sure if I missed some steps, can you provide any performance data for reference? Thank you very much. > > It is as expected. See [#184 (comment)](https://github.com/deepseek-ai/DeepEP/issues/184#issuecomment-2955323318). > > > What's more, can TMA optimization be applied to internode normal kernel and How much potential performance improvement will it gain? > > Yes, and we are still working on this. The exact number will be released later, maybe in 2 weeks. OK, Thanks for your reply!
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