~/talk

Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale...

Talkat USENIX ATC '23 · 2023-07-10..07-12· [machine-learning, distributed-systems]
name:Jie Sun
links:none on file
name:Li Su
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name:Zeke Wang
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name:Lei Wang
links:none on file
name:Jie Zhang
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name:Yong Li
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links:none on file
name:fei wu
links:none on file
slides:none on file

Claims an end-to-end multi-GPU system that trains billion‑node GNNs on a single machine by combining hierarchical graph partitioning to minimize cache replication, a hotness‑aware unified cache for topology+features, and an automatic cache‑size optimizer that maximizes throughput. Built on DGX/TGX platforms and evaluated on real billion‑scale datasets, Legion cuts PCIe traffic dramatically, prevents GPU OOMs that break other caches, raises cache hit rates, and reports up to ~4.3× speedup versus prior cache systems.

AI-written summary · about

  1. 0:00Introduction
  2. 0:38Background
  3. 5:09Outline
  4. 10:14Unified Cache
  5. 13:36Automatic Cash Management
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