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Seraph: Towards Scalable and Efficient Fully-external Graph Computation via On-demand...

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Seraph is a fully-external graph engine that replaces streaming-within-grid I/O with on-demand processing tuned for modern SSDs and claims up to two orders of magnitude speedup on billion-scale graphs (testing includes a 1.7 TB graph). It implements a hybrid format that stores dense blocks as grids and sparse blocks as rows, a vertex passing log-and-merge scheme to avoid random writes and preserve locality, and selective pre-computation to reuse loaded blocks and cut total I/O — experiments show large runtime and I/O reductions.

AI-written summary · about

  1. 0:00Seraph introduction
  2. 1:21Graph systems background
  3. 4:55Motivation for Seraph
  4. 7:47On-demand vs streaming
  5. 11:18Seraph design principles
  6. 14:08Hybrid graph storage
  7. 15:10Vertex passing optimization
  8. 16:35Selective computation
  9. 18:21Evaluation setup
  10. 19:44Memory scalability results
  11. 20:49Conclusion
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