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Understanding the performance of stencil computations on Intel's Xeon Phi.

, , , , , and . CLUSTER, page 1-5. IEEE Computer Society, (2013)

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Characterizing Large-Scale HPC Applications through Trace extrapolation., , and . Parallel Processing Letters, (2013)Low cost trace-driven memory simulation using SimPoint., , , and . SIGARCH Computer Architecture News, 33 (5): 81-86 (2005)PEBIL: Efficient static binary instrumentation for Linux., , , and . ISPASS, page 175-183. IEEE Computer Society, (2010)An idiom-finding tool for increasing productivity of accelerators., , , , , , and . ICS, page 202-212. ACM, (2011)A Static Binary Instrumentation Threading Model for Fast Memory Trace Collection., , , , , and . SC Companion, page 741-745. IEEE Computer Society, (2012)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)How Well Can Simple Metrics Represent the Performance of HPC Applications?, , , , and . SC, page 48. IEEE Computer Society, (2005)Modeling Power and Energy Usage of HPC Kernels., , , and . IPDPS Workshops, page 990-998. IEEE Computer Society, (2012)Auto-tuning for Energy Usage in Scientific Applications., , , and . Euro-Par Workshops (2), volume 7156 of Lecture Notes in Computer Science, page 178-187. Springer, (2011)PMaC's green queue: a framework for selecting energy optimal DVFS configurations in large scale MPI applications., , , , and . Concurrency and Computation: Practice and Experience, 28 (2): 211-231 (2016)