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Experiences and Lessons Learned with a Portable Interface to Hardware Performance Counters.

, , , , , , and . IPDPS, page 289. IEEE Computer Society, (2003)

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PAPI users group - PAPI users group., and . SC, page 43. ACM Press, (2006)A Comparison of Counting and Sampling Modes of Using Performance Monitoring Hardware.. International Conference on Computational Science (2), volume 2330 of Lecture Notes in Computer Science, page 904-912. Springer, (2002)User-defined events for hardware performance monitoring., and . ICCS, volume 4 of Procedia Computer Science, page 2096-2104. Elsevier, (2011)E-AMOM: an energy-aware modeling and optimization methodology for scientific applications., , , , , , , and . Comput. Sci. Res. Dev., 29 (3-4): 197-210 (2014)Power-aware predictive models of hybrid (MPI/OpenMP) scientific applications on multicore systems., , , , , , and . Comput. Sci. Res. Dev., 27 (4): 245-253 (2012)Energy and performance characteristics of different parallel implementations of scientific applications on multicore systems., , , , , and . Int. J. High Perform. Comput. Appl., 25 (3): 342-350 (2011)Refactoring and automated performance tuning of computational chemistry application codes.. WSC, page 293:1-293:9. WSC, (2012)Durango: Scalable Synthetic Workload Generation for Extreme-Scale Application Performance Modeling and Simulation., , , , , , and . SIGSIM-PADS, page 97-108. ACM, (2017)Autotuned parallel I/O for highly scalable biosequence analysis., , , and . TG, page 29:1-29:8. ACM, (2011)Experiences and Lessons Learned with a Portable Interface to Hardware Performance Counters., , , , , , and . IPDPS, page 289. IEEE Computer Society, (2003)