ModelBest focuses on the ForgeKernel kernel optimization framework
Yuxuan Li announced that, based on previous findings from JustGoal, they redesigned their approach to kernel optimization and launched a self-evolving kernel optimization framework called ForgeKernel (part of the Forge series). It ranked first on both NVIDIA's SOL-ExecBench (FlashInfer-Bench) and Huawei's CANN-Bench, and the paper will be released soon. ModelBest OpenBMB reposted it and said they look forward to the upcoming paper and more results from the Forge series.
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View original postBased on our previous discovery on JustGoal, we redesigned how we do kernel optimisation and launched a self-evolving kernel optimisation harness called ForgeKernel, a part of our Forge series. We tried ForgeKernel on SOL-ExecBench(FlashInfer-Bench) from NVIDIA and CANN-Bench from HUAWEI. It performed well and easily reached #1 in every list we tested. Here are the ranks: https://t.co/IoM3k9UY19 https://t.co/mHD2RF3qkZ We'll release another paper on ForgeKernel soon.
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Based on our previous discovery on JustGoal, we redesigned how we do kernel optimisation and launched a self-evolving kernel optimisation harness called ForgeKernel, a part of our Forge series. We tried ForgeKernel on SOL-ExecBench(FlashInfer-Bench) from NVIDIA and CANN-Bench from HUAWEI. It performed well and easily reached #1 in every list we tested. Here are the ranks: https://t.co/IoM3k9UY19 https://t.co/mHD2RF3qkZ We'll release another paper on ForgeKernel soon.
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From JustGoal to a self-evolving optimization harness, excited to see what comes next. Looking forward to the paper and more results from the Forge series! @_LiYuXuan_