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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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A Static Binary Instrumentation Threading Model for Fast Memory Trace Collection., , , , , and . SC Companion, page 741-745. IEEE Computer Society, (2012)High-Performance Computing Acquisitions Based on the Factors that Matter., , , and . Computing in Science and Engineering, 9 (6): 35-44 (2007)Characterizing the Performance-Energy Tradeoff of Small ARM Cores in HPC Computation., , , , , , and . Euro-Par, volume 8632 of Lecture Notes in Computer Science, page 124-137. Springer, (2014)Calculation and Use of Peaking Factors for Remote Terminal Emulation., and . Computer Performance Evaluation / TOOLS, volume 1786 of Lecture Notes in Computer Science, page 341-344. Springer, (2000)VecMeter: Measuring Vectorization on the Xeon Phi., , , , and . CLUSTER, page 478-481. IEEE Computer Society, (2015)Making the Most of SMT in HPC: System- and Application-Level Perspectives., , , , , , and . TACO, 11 (4): 59:1-59:26 (2014)Integration of a workstation laboratory into a computer science curriculum.. ACM Southeast Regional Conference, page 80-88. ACM, (1990)PEBIL: binary instrumentation for practical data-intensive program analysis., , , , , and . Cluster Computing, 18 (1): 1-14 (2015)Optimizing codes on the Xeon Phi: a case-study with LAMMPS., , , , and . XSEDE, page 28:1-28:2. ACM, (2015)Understanding the performance of stencil computations on Intel's Xeon Phi., , , , , and . CLUSTER, page 1-5. IEEE Computer Society, (2013)