Echo: error-compensated 4-bit tensor-parallel communication for LLM training and inference
Read the original at arxiv.org→arXiv:2610.14277v1 Announce Type: new Abstract: Tensor parallelism ends every layer with an all-reduce that sits between two dependent matrix multiplications, so its cost cannot be hidden and grows as compute...
Original headline: "Echo: Error-Compensated 4-Bit Tensor-Parallel Communication for LLM Training and Inference"
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- Oct 14, 04:00 UTC arXiv cs.AI lead source Echo: Error-Compensated 4-Bit Tensor-Parallel Communication for LLM Training and Inference