AI & ML
flash-comm: Self-Synchronizing Collective Communication for LLM Decoding
arXiv cs.DC0 views
arXiv:2611.06634v1 Announce Type: new Abstract: We present flash-comm, a communication library that achieves efficient transport for LLM decoding by fusing readiness synchronization with data movement. flash-comm introduces self-synchronizing transfers in which each data block carries evidence of its readiness, allowing receivers to directly validate the blocks they need without separate inter-GPU barriers. Based on this principle, a cost-guided protocol selector adapts the readiness encoding to message size and the number of participating GPUs, balancing synchronization overhead against additional data-transfer cost. flash-comm further decouples transport order from reduction order to preserve result consistency across GPUs under asynchronous data arrivals. On a server with eight NVIDIA B300 GPUs, flash-comm reduces all-reduce latency by a median of 28.8% and up to 43.7% compared with custom AR v2 (the state-of-the-art all-reduce implementation). In end-to-end decoding, flash-comm reduces time per output token (TPOT) by 1.7-6.8%. Note that all-reduce accounts for 11.4% of the baseline decoding time, which bounds the latency reduction possible from optimizing this operation alone. The same mechanism also supports standalone all-gather, reducing latency by a median of 23.8% and up to 58.9% across eight B300 GPUs.
Source:https://arxiv.org/abs/2611.06634PreviousAtomicFaaS: Offloading Side-Effect Compensation to the Serverless PlatformNextUncertainty-Aware Resource Orchestration for Agentic AI Systems
Related posts

Designing a Form That Asks for Birth Date, Time and Place (No Code, Just the Tricky Parts)
0dev.to UX
메타 Quest 2 OS 업데이트 종료, 약시 훈련 루틴에는 무슨 일이 생기나
0dev.to News
How to Put a Logo in a QR Code (and Make Sure It Still Scans)
0dev.to Design
Why Luxury Fine Jewelry Brands Are Ditching Physical Video Shoots for 3D CAD Commercials in 2026
0dev.to Design

How AI Is Changing Healthcare in 2026 - And Why Developers Should Pay Attention
0dev.to Productivity

When Should Singapore Healthcare Enterprises Hire AI Developers?
0dev.to Productivity