MMA routes host-GPU transfers over multiple available paths to deliver 4.62x higher peak bandwidth and lower latencies in LLM serving without hardware or driver changes.
Boosting large-scale parallel training efficiency with c4: A communication-driven approach
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EPIC defines a unified abstraction for in-network collectives on Ethernet with polymorphic implementations and modular design to support incremental hardware evolution.
citing papers explorer
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MultiPath Memory Access: Breaking Host-GPU Bandwidth Bottlenecks in LLM Services
MMA routes host-GPU transfers over multiple available paths to deliver 4.62x higher peak bandwidth and lower latencies in LLM serving without hardware or driver changes.
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EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet
EPIC defines a unified abstraction for in-network collectives on Ethernet with polymorphic implementations and modular design to support incremental hardware evolution.