[GH-ISSUE #338] Has the currently implemented logfmt quantization been able to optimize the combine operation to reduce time consumption? #237

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opened 2026-10-26 09:57:09 +00:00 by bsakaguchi · 0 comments
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Originally created by @DongYuqi1 on GitHub (Jul 30, 2025).
Original GitHub issue: https://github.com/deepseek-ai/DeepEP/issues/338

Hello, I have implemented a logfmt-8bit kernel based on the logfmt quantization in internode-ll for testing the 8-card environment of intranode H800. The combine bandwidth is 160GB/s, the token*hidden number propagated is 4096 and 7168, and the topk is 8. At this time, the time cost without quantization is 1.9ms. For the quantization operation, if kNumUnrolls is set to 1, the time cost is 0.11ms. So, can we say that a good optimization effect has been achieved?

Originally created by @DongYuqi1 on GitHub (Jul 30, 2025). Original GitHub issue: https://github.com/deepseek-ai/DeepEP/issues/338 Hello, I have implemented a logfmt-8bit kernel based on the logfmt quantization in internode-ll for testing the 8-card environment of intranode H800. The combine bandwidth is 160GB/s, the token*hidden number propagated is 4096 and 7168, and the topk is 8. At this time, the time cost without quantization is 1.9ms. For the quantization operation, if kNumUnrolls is set to 1, the time cost is 0.11ms. So, can we say that a good optimization effect has been achieved?
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deepseek-ai/DeepEP#237
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