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Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist.

, , , , , , , , and . KDD, page 293-301. ACM, (2018)

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CosmoFlow: using deep learning to learn the universe at scale., , , , , , , , , and 7 other author(s). SC, page 65:1-65:11. IEEE / ACM, (2018)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)Early experiences with large-scale Cray XMT systems., and . IPDPS, page 1-9. IEEE, (2009)Early experience with out-of-core applications on the Cray XMT., , , , and . IPDPS, page 1-8. IEEE, (2008)Alchemist: An Apache Spark ⇔ MPI interface., , , , , , , , and . Concurrency and Computation: Practice and Experience, (2019)Input-independent, scalable and fast string matching on the Cray XMT., , and . IPDPS, page 1-12. IEEE, (2009)P_ARPACK: An Efficient Portable Large Scale Eigenvalue Package for Distributed Memory Parallel Architectures., and . PARA, volume 1184 of Lecture Notes in Computer Science, page 478-486. Springer, (1996)Extending SPARQL with graph functions., , and . BigData, page 46-53. IEEE Computer Society, (2014)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)Implementing and evaluating multithreaded triad census algorithms on the Cray XMT., , , and . IPDPS, page 1-9. IEEE, (2009)