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papersTODAY 04:00 UTC

mKernel: Fused Kernels Target Multi-GPU, Multi-Node Communication Bottlenecks

A new arXiv paper introduces mKernel, a technique that fuses kernels across multiple GPUs and nodes to reduce communication overhead in distributed training and inference. Existing approaches that overlap communication with computation on separate streams only offset part of the cost, so the authors propose kernel-level fusion instead. The work targets the communication bottleneck that limits scaling of large models.

arXiv mKernel communication bottleneck distributed training kernel fusion multi-GPU

COVERAGE · 2 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.AImKernel: Fast Multi-GPU, Multi-Node Fused Kernels ↗TODAY 04:00 UTC

arXiv cs.LGmKernel: Fast Multi-GPU, Multi-Node Fused Kernels ↗TODAY 04:00 UTC