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Where should the threads go? Leveraging hierarchical data locality to solve the thread affinity dilemma.

, , , and . ICPADS, page 384-391. IEEE Computer Society, (2014)

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Locality-aware power optimization and measurement methodology for PGAS workloads on SMP clusters., , , and . IGCC, page 1-10. IEEE Computer Society, (2013)Enabling PGAS Productivity with Hardware Support for Shared Address Mapping: A UPC Case Study., , , and . HPCC/CSS/ICESS, page 1-10. IEEE, (2014)Performance Pattern of Unified Parallel C on Multi-core Clusters., , , and . HPCC/EUC, page 1751-1757. IEEE, (2013)PGAS Access Overhead Characterization in Chapel., , , , and . IPDPS Workshops, page 1568-1577. IEEE Computer Society, (2016)Hardware support for address mapping in PGAS languages: a UPC case study., , , and . Conf. Computing Frontiers, page 22:1-22:2. ACM, (2014)Leveraging Hierarchical Data Locality in Parallel Programming Models., , , and . HPCC/CSS/ICESS, page 363-366. IEEE, (2014)Predictive energy management techniques for PGAS programming., , , and . AICCSA, page 1-8. IEEE Computer Society, (2013)Distributed Shared Memory Programming in the Cloud., , and . CCGRID, page 707-708. IEEE Computer Society, (2012)Granular CPU power measurement for SMP clusters., , , and . IGCC, page 1-6. IEEE Computer Society, (2013)Address Translation Optimization for Unified Parallel C Multi-dimensional Arrays., , , , and . IPDPS Workshops, page 1191-1198. IEEE, (2011)