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Computer Sciences

University of Arkansas, Fayetteville

Accelerators

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Study Of Parallel Programming Models On Computer Clusters With Accelerators, Chenggang Lai Dec 2014

Study Of Parallel Programming Models On Computer Clusters With Accelerators, Chenggang Lai

Theses and Dissertations

In order to reach exascale computing capability, accelerators have become a crucial part in developing supercomputers. This work examines the potential of two latest acceleration technologies, Intel Many Integrated Core (MIC) Architecture and Graphics Processing Units (GPUs). This thesis applies three benchmarks under 3 different configurations, MPI+CPU, MPI+GPU, and MPI+MIC. The benchmarks include intensely communicating application, loosely communicating application, and embarrassingly parallel application. This thesis also carries out a detailed study on the scalability and performance of MIC processors under two programming models, i.e., offload model and native model, on the Beacon computer cluster.

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