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An asymmetric distributed shared memory model for heterogeneous parallel systems

Isaac Gelado, John E. Stone, Javier Cabezas, Sanjay Patel, Nacho Navarro, Wen-mei W. Hwu
Universitat Politecnica de Catalunya
In ASPLOS ’10: Proceedings of the fifteenth edition of ASPLOS on Architectural support for programming languages and operating systems (2010), pp. 347-358

@article{gelado2010asymmetric,

   title={An asymmetric distributed shared memory model for heterogeneous parallel systems},

   author={Gelado, I. and Cabezas, J. and Navarro, N. and Stone, J.E. and Patel, S. and Hwu, W.W.},

   journal={ACM SIGARCH Computer Architecture News},

   volume={38},

   number={1},

   pages={347–358},

   issn={0163-5964},

   year={2010},

   publisher={ACM}

}

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Heterogeneous computing combines general purpose CPUs with accelerators to efficiently execute both sequential control-intensive and data-parallel phases of applications. Existing programming models for heterogeneous computing rely on programmers to explicitly manage data transfers between the CPU system memory and accelerator memory.
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