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Characterization of Power Usage and Performance in Data-Intensive Applications Using MapReduce over MPI., , , , , , , and . PARCO, volume 36 of Advances in Parallel Computing, page 287-298. IOS Press, (2019)Power-aware computing: Measurement, control, and performance analysis for Intel Xeon Phi., , , , , and . HPEC, page 1-7. IEEE, (2017)Custom Assignment of MPI Ranks for Parallel Multi-dimensional FFTs: Evaluation of BG/P versus BG/L., and . ISPA, page 271-283. IEEE Computer Society, (2008)Poster: new features of the PAPI hardware counter library., , , , , and . SC Companion, page 3-4. ACM, (2011)PaRSEC in Practice: Optimizing a Legacy Chemistry Application through Distributed Task-Based Execution., , , and . CLUSTER, page 304-313. IEEE Computer Society, (2015)Investigating power capping toward energy-efficient scientific applications., , , , , and . Concurr. Comput. Pract. Exp., (2019)Impact of Quad-Core Cray XT4 System and Software Stack on Scientific Computation., , , , , and . Euro-Par, volume 5704 of Lecture Notes in Computer Science, page 334-344. Springer, (2009)Workshop 6: HIPS High-level Parallel Programming Models and Supportive Environments., and . IPDPS Workshops, page 316. IEEE, (2020)Collecting Performance Data with PAPI-C., , , and . Parallel Tools Workshop, page 157-173. Springer, (2009)Collecting Performance Data with PAPI-C, , , and . Tools for High Performance Computing 2009, page 157--173. Berlin, Heidelberg, Springer Berlin Heidelberg, (2010)