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DistME: A Fast and Elastic Distributed Matrix Computation Engine using GPUs

Summary: Introduces DistME, a fast elastic distributed matrix computation engine built atop Spark, combining CuboidMM with GPU acceleration. CuboidMM partitions matrices into cuboids to minimize network traffic under memory constraints, while subcuboid GPU partitioning reduces PCIe costs; experiments show superior performance and scalability over existing distributed matrix mult methods. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5677
Venue
SIGMOD
Year
2019
Pagerank
4.9417155e-05
Overall Rank
6,745 | 53.08%
DOI
10.1145/3299869.3319865

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