LA3: A Scalable Link- and Locality-Aware Linear Algebra-Based Graph Analytics System
Summary: LA3 is a scalable distributed graph-analytics system that fuses vertex-centric programming with a linear-algebra engine, converting vertex programs to iterative SpMV. It uses locality-aware 2D tiling with computation and communication filtering and pseudo-asynchronous progress to cut redundant work and traffic, delivering ~10x speedups over six baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yousuf Ahmad
- 2. Omar Khattab
- 3. Arsal Malik
- 4. Ahmad Musleh
- 5. Mohammad Hammoud
- 6. Mucahid Kutlu
- 7. Mostafa Shehata
- 8. Tamer Elsayed
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,234 | Distributed Edge Partitioning for Trillion-edge Graphs | 2019 | VLDB | 6.3355073e-05 |
| 6,730 | A Hierarchical Contraction Scheme for Querying Big Graphs | 2022 | SIGMOD | 4.9479867e-05 |
| 11,633 | Graphite: A NUMA-aware HPC System for Graph Analytics Based on a new MPI * X Parallelism Model | 2020 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0019005923 |
| 37 | Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud | 2012 | VLDB | 0.0007522744 |
| 396 | One Trillion Edges: Graph Processing at Facebook-Scale | 2015 | VLDB | 0.00024424102 |
| 1,294 | Distributed SociaLite: A Datalog-Based Language for Large-Scale Graph Analysis | 2013 | VLDB | 0.00012779484 |
| 1,678 | Navigating the Maze of Graph Analytics Frameworks using Massive Graph Datasets | 2014 | SIGMOD | 0.00010933417 |
| 2,449 | GraphMat: High performance graph analytics made productive | 2015 | VLDB | 8.7915899e-05 |
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