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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
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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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