Heterogeneous multicore parallel programming for graphics processing units
Heterogeneous multicore parallel programming for graphics processing units
复制标题
图形处理单元的异构多核并行编程
DOI：
10.3233/spr-2009-0292
复制
发表时间：
2009
期刊：
影响因子：
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通讯作者：
Stéphane Bihan
中科院分区：
文献类型：
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作者：
F. Bodin;Stéphane Bihan
基于图形处理单元（GPU）的混合并行多核架构可以提供巨大的计算能力。目前的NVIDIA和AMD图形产品组硬件显示出数百千兆次浮点运算的峰值性能。然而，从现有应用程序中利用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，我们提出了HMPP，异构多核并行编程工作台与编译器，开发的CAPS entreprise，允许集成的异构硬件加速器在非侵入性的方式，同时保留遗留代码。
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.