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Evaluation of emerging memory technologies for HPC, data intensive applications.

, , and . CLUSTER, page 239-247. IEEE Computer Society, (2014)

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A performance prediction framework for scientific applications., , and . Future Gener. Comput. Syst., 22 (3): 336-346 (2006)Reducing communication in parallel graph search algorithms with software caches., , and . Int. J. High Perform. Comput. Appl., (2019)A genetic algorithms approach to modeling the performance of memory-bound computations., , , and . SC, page 47. ACM Press, (2007)A framework for performance modeling and prediction., , , , , and . SC, page 24:1-24:17. IEEE Computer Society, (2002)How Well Can Simple Metrics Represent the Performance of HPC Applications?, , , , and . SC, page 48. IEEE Computer Society, (2005)Performance and energy-efficiency analysis of ARM processors for HPC workloads.. Co-HPC@SC, page 1:1. ACM, (2015)A tool for characterizing and succinctly representing the data access patterns of applications., , and . IISWC, page 126-135. IEEE Computer Society, (2011)PIR: PMaC's Idiom Recognizer., , , and . ICPP Workshops, page 189-196. IEEE Computer Society, (2010)Reducing Energy Usage with Memory and Computation-Aware Dynamic Frequency Scaling., , , , , and . Euro-Par (1), volume 6852 of Lecture Notes in Computer Science, page 79-90. Springer, (2011)PSnAP: Accurate Synthetic Address Streams through Memory Profiles., , , and . LCPC, volume 5898 of Lecture Notes in Computer Science, page 353-367. Springer, (2009)