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L2 Cache Modeling for Scientific Applications on Chip Multi-Processors.

, , and . ICPP, page 51. IEEE Computer Society, (2007)

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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)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)PAPI users group - PAPI users group., and . SC, page 43. ACM Press, (2006)User-defined events for hardware performance monitoring., and . ICCS, volume 4 of Procedia Computer Science, page 2096-2104. Elsevier, (2011)Autotuned parallel I/O for highly scalable biosequence analysis., , , and . TG, page 29:1-29:8. ACM, (2011)Durango: Scalable Synthetic Workload Generation for Extreme-Scale Application Performance Modeling and Simulation., , , , , , and . SIGSIM-PADS, page 97-108. ACM, (2017)Refactoring and automated performance tuning of computational chemistry application codes.. WSC, page 293:1-293:9. WSC, (2012)Experiences and Lessons Learned with a Portable Interface to Hardware Performance Counters., , , , , , and . IPDPS, page 289. IEEE Computer Society, (2003)