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The Performance Implication of Task Size for Applications on the HPX Runtime System.

, , , and . CLUSTER, page 682-689. IEEE Computer Society, (2015)

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Towards Performance Predictive Application-Dependent Workload Characterization., and . SC Companion, page 426-436. IEEE Computer Society, (2012)Binary instrumentation support for measuring performance in OpenMP programs., , and . SE-CSE@ICSE, page 19-23. IEEE Computer Society, (2013)Using Performance-Power Modeling to Improve Energy Efficiency of HPC Applications., , , and . IEEE Computer, 49 (10): 20-29 (2016)Improved Estimation for Software Multiplexing of Performance Counters., and . MASCOTS, page 23-34. IEEE Computer Society, (2005)A performance study of the time-varying cache behavior: a study on APEX, Mantevo, NAS, and PARSEC., , , and . The Journal of Supercomputing, 74 (2): 665-695 (2018)LMStr: Local memory store the case for hardware controlled scratchpad memory for general purpose processors., , , and . IPCCC, page 1-8. IEEE, (2016)A Methodology for Characterizing the Correspondence Between Real and Proxy Applications., , , , , and . CLUSTER, page 190-200. IEEE Computer Society, (2018)Insight into Application Performance Using Application-Dependent Characteristics., , and . PMBS@SC, volume 8966 of Lecture Notes in Computer Science, page 107-128. Springer, (2014)LMStr: exploring shared hardware controlled scratchpad memory for multicores., , , and . MEMSYS, page 152-165. ACM, (2017)DyAdHyTM: a low overhead dynamically adaptive hybrid transactional memory with application to large graphs., , and . MEMSYS, page 327-336. ACM, (2017)