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Hybrid Evaluation for Distributed Iterative Matrix Computation

Summary: Proposes matrix reorganization and a hybrid evaluation that interleaves full and incremental updates for distributed iterative matrix computations. A cost model plus selective comparison reduces overhead, and HyMAC (SystemML-based) delivers ~23% average speedups and outperforms SystemML, ScaLAPACK, SciDB on large datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6123
Venue
SIGMOD
Year
2021
Pagerank
4.1945683e-05
Overall Rank
11,472 | 20.20%
DOI
10.1145/3448016.3452843

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Rank Citing Paper Year Venue Pagerank
11,511 HyMAC: A Hybrid Matrix Computation System 2021 VLDB 4.1945683e-05
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