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Start Late or Finish Early: A Distributed Graph Processing System with Redundancy Reduction

Summary: SLFE: distributed graph processing with a lightweight topology-preprocessing stage and a redundancy-aware vertex-centric model to start late or finish early. Demonstrates up to 75x speedups over deployed distributed systems and up to 1644x over shared memory; redundancy-reduction schemes are broadly applicable. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11846
Venue
VLDB
Year
2019
Pagerank
4.5816155e-05
Overall Rank
8,115 | 43.55%
DOI
10.14778/3282495.3282501

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
7,004 RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing 2024 VLDB 4.8656632e-05
9,472 TGraph: A Tensor-centric Graph Processing Framework 2025 SIGMOD 4.3341665e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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