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Exploiting Matrix Dependency for Efficient Distributed Matrix Computation

Summary: Exploits matrix dependencies to reduce communication in distributed matrix computation. DMac decomposes programs into operations, derives a dependency-oriented cost model, and generates un-interleaved, stage-wise execution plans on Spark for efficient local processing. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4932
Venue
SIGMOD
Year
2015
Pagerank
8.0208832e-05
Overall Rank
2,848 | 80.19%
DOI
10.1145/2723372.2723712

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Rank Citing Paper Year Venue Pagerank
557 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.00020197988
1,967 Compressed Linear Algebra for Large-Scale Machine Learning 2016 VLDB 9.9131712e-05
3,918 On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML 2018 VLDB 6.6315176e-05
4,802 Resource Elasticity for Large-Scale Machine Learning 2015 SIGMOD 5.9114415e-05
6,191 Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra 2021 SIGMOD 5.1642282e-05
6,745 DistME: A Fast and Elastic Distributed Matrix Computation Engine using GPUs 2019 SIGMOD 4.9417155e-05
8,262 FuseME: Distributed Matrix Computation Engine based on Cuboid-based Fused Operator and Plan Generation 2022 SIGMOD 4.5467867e-05
8,514 UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads 2022 VLDB 4.4944285e-05
11,339 Redundancy Elimination in Distributed Matrix Computation 2022 SIGMOD 4.1945683e-05
11,472 Hybrid Evaluation for Distributed Iterative Matrix Computation 2021 SIGMOD 4.1945683e-05
11,511 HyMAC: A Hybrid Matrix Computation System 2021 VLDB 4.1945683e-05
11,846 Real-time Video Recommendation Exploration 2016 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
318 Overview of SciDB: Large Scale Array Storage, Processing and Analysis 2010 SIGMOD 0.00027795661
413 HaLoop: Efficient Iterative Data Processing on Large Clusters 2010 VLDB 0.00023904409
947 MRShare: Sharing Across Multiple Queries in MapReduce 2010 VLDB 0.00015114576
1,402 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB 0.00012180605
2,747 Stubby: A Transformation-based Optimizer for MapReduce Workflows 2012 VLDB 8.1828918e-05
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Overall Rank Paper Year Venue Pagerank
9,437 BlockJoin: Efficient Matrix Partitioning Through Joins 2017 VLDB 4.3425552e-05
1,402 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB 0.00012180605
8,534 Translation of Array-Based Loops to Distributed Data-Parallel Programs 2020 VLDB 4.4937074e-05
7,019 Bridging the Gap Between HPC and Big Data Frameworks 2017 VLDB 4.860057e-05
5,613 Distributed implementations of dependency discovery algorithms 2019 VLDB 5.4102298e-05
7,949 Efficient Matrix Sketching over Distributed Data 2017 PODS 4.613363e-05
11,339 Redundancy Elimination in Distributed Matrix Computation 2022 SIGMOD 4.1945683e-05
6,191 Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra 2021 SIGMOD 5.1642282e-05
6,745 DistME: A Fast and Elastic Distributed Matrix Computation Engine using GPUs 2019 SIGMOD 4.9417155e-05
11,472 Hybrid Evaluation for Distributed Iterative Matrix Computation 2021 SIGMOD 4.1945683e-05