21156

Parallel Programming Models for Heterogeneous Many-Cores: A Survey

Jianbin Fang, Chun Huang, Tao Tang, Zheng Wang
Institute for Computer Systems, College of Computer, National University of Defense Technology
arXiv:2005.04094 [cs.DC], (5 May 2020)

@misc{fang2020parallel,

   title={Parallel Programming Models for Heterogeneous Many-Cores : A Survey},

   author={Jianbin Fang and Chun Huang and Tao Tang and Zheng Wang},

   year={2020},

   eprint={2005.04094},

   archivePrefix={arXiv},

   primaryClass={cs.DC}

}

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Heterogeneous many-cores are now an integral part of modern computing systems ranging from embedding systems to supercomputers. While heterogeneous many-core design offers the potential for energy-efficient high-performance, such potential can only be unlocked if the application programs are suitably parallel and can be made to match the underlying heterogeneous platform. In this article, we provide a comprehensive survey for parallel programming models for heterogeneous many-core architectures and review the compiling techniques of improving programmability and portability. We examine various software optimization techniques for minimizing the communicating overhead between heterogeneous computing devices. We provide a road map for a wide variety of different research areas. We conclude with a discussion on open issues in the area and potential research directions. This article provides both an accessible introduction to the fast-moving area of heterogeneous programming and a detailed bibliography of its main achievements.
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