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Bridging the Gap Between HPC and Big Data Frameworks

Summary: MPI-Spark integration to offload compute from Spark into MPI, preserving Spark's fault tolerance and ecosystem. Analyzes four distributed graph/ML workloads; shows 3.1-17.7x speedups over native Spark with overheads included, enabling reuse of MPI libraries in Spark with minimal effort. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11583
Venue
VLDB
Year
2017
Pagerank
4.860057e-05
Overall Rank
7,019 | 51.18%
DOI
-

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Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
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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