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Heterogeneous Multicore Parallel Programming for Graphics Processing Units

机译:图形处理单元的异构多核并行编程

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Hybrid parallel multicore architectures based on graphics processing units (GPUs) can provide tremendous computing power. Current NVIDIA and AMD Graphics Product Group hardware display a peak performance of hundreds of gigaflops. However, exploiting GPUs from existing applications is a difficult task that requires non-portable rewriting of the code. In this paper, we present HMPP, a Heterogeneous Multicore Parallel Programming workbench with compilers, developed by CAPS entreprise, that allows the integration of heterogeneous hardware accelerators in a unintrusive manner while preserving the legacy code.
机译:基于图形处理单元(GPU)的混合并行多核体系结构可以提供巨大的计算能力。当前的NVIDIA和AMD图形产品组硬件显示出数百吉比特的最高性能。但是,从现有应用程序利用GPU是一项艰巨的任务,需要对代码进行不可移植的重写。在本文中,我们介绍了HMPP,这是由CAPS企业开发的带有编译器的异构多核并行编程工作台,它允许以非侵入方式集成异构硬件加速器,同时保留了原有代码。

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