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Can GPGPU Programming Be Liberated from the Data-Parallel Bottleneck?

Benedict R. Gaster, Lee Howes
Advanced Micro Devices
IEEE Computer, vol. 45, no. 8, pages 42-52, 2012

@article{gaster2012can,

   title={Can GPGPU Programming Be Liberated from the Data-Parallel Bottleneck?},

   author={Gaster, B.R. and Howes, L.},

   journal={Computer},

   pages={42–52},

   year={2012},

   publisher={IEEE Computer Society}

}

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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.
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