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Scaph: Scalable GPU-Accelerated Graph Processing with Value-Driven Differential...

Talkat USENIX ATC '20 · 2020-07-15..07-17· [distributed-systems]
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name:Yu Huang
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name:Hai Jin
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Scaph is a GPU-accelerated system that partitions graphs into host-resident subgraphs and adaptively classifies each iteration whether a subgraph is high-value or low-value, using value-driven differential scheduling and two engines that either stream whole subgraphs or transfer only neighbor data for active vertices. It implements bitmap-based UD extraction, chunked GPU tiles and a re-scheduling “queen” for GPU-resident subgraphs, uses thresholds (α≈50%, β≈30%), and reports mean speedups versus Totem 4.12×, Graphie 8.93× and Garaph 3.71× on real and synthetic large graphs.

AI-written summary · about

  1. 0:00Start
  2. 0:38Graph Processing: CPU vs. GPU GPU V100
  3. 3:34A Generic Example of Graph Processing Engine
  4. 6:13Characterization of Subgraph Data
  5. 10:26Value-Driven Differential Scheduling
  6. 14:09Low-Value Subgraph Processing • NUMA Aware Load Balancing
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