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Can GPGPU Programming Be Liberated from the Data-Parallel Bottleneck?
August 2012 (vol. 45 no. 8)
pp. 42-52
Benedict R. Gaster, Advanced Micro Devices
Lee Howes, Advanced Micro Devices
Heterogeneous parallel primitives (HPP) addresses two major shortcomings in current GPGPU programming models: it supports full composability by defining abstractions and increases flexibility in execution by introducing braided parallelism.
Index Terms:
Graphics processing unit,Programming,Performance evaluation,Parellel processing,Indexes,Hardware,Multithreading,hardware,massively threaded computing systems,heterogeneous parallel primitives,braided parallelism,persistent threading,GPGPU programming,data-parallel execution,distributed arrays
Citation:
Benedict R. Gaster, Lee Howes, "Can GPGPU Programming Be Liberated from the Data-Parallel Bottleneck?," Computer, vol. 45, no. 8, pp. 42-52, Aug. 2012, doi:10.1109/MC.2012.257
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