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Alchemist: An Apache Spark ⇔ MPI interface., , , , , , , , and . Concurrency and Computation: Practice and Experience, (2019)Matrix factorizations at scale: A comparison of scientific data analytics in spark and C+MPI using three case studies., , , , , , , , , and 7 other author(s). BigData, page 204-213. IEEE Computer Society, (2016)A Multi-Platform Evaluation of the Randomized CX Low-Rank Matrix Factorization in Spark., , , , , , , , , and 5 other author(s). IPDPS Workshops, page 1403-1412. IEEE Computer Society, (2016)Alchemist: An Apache Spark MPI Interface., , , , , , , , and . CoRR, (2018)Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist., , , , , , , , and . KDD, page 293-301. ACM, (2018)MLI: An API for Distributed Machine Learning., , , , , , , , and . ICDM, page 1187-1192. IEEE Computer Society, (2013)Rethinking Data-Intensive Science Using Scalable Analytics Systems., , , , , , , , , and 3 other author(s). SIGMOD Conference, page 631-646. ACM, (2015)Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies., , , , , , , , , and 7 other author(s). CoRR, (2016)