期刊文献+

基于CPU/GPU异构平台并行优化的研究

The Research of Parallel Optimization Based on CPU/GPU Heterogeneous Platform
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摘要 CPU/GPU异构系统具有很大的发展潜力,深入研究CPU/GPU异构平台的并行优化,可实现系统整体计算能力的最大化。通过对CPU/GPU任务划分的优化来平衡CPU和GPU的负载,可提高计算资源的利用率,缩短计算任务的执行时间;通过对GPU线程划分的优化,可使GPU获得更高的速度,从而提高系统整体性能。 CPU/GPU heterogeneous system has great potential for development, in-depth study of CPU/GPU parallel hetero- geneous platforms Parallel optimize to maximize the system overall computing power.Based on the CPU/GPU task partitioning optimization to balance the CPU and the GPU load, which can improve the utilization of computing resources, and shorten the execution time of computing tasks. GPU can get higher speed than by optimizing the GPU thread partition, and therefore can improve the system overall performance.
作者 杨芳菊
出处 《电脑编程技巧与维护》 2012年第18期4-7,67,共5页 Computer Programming Skills & Maintenance
关键词 异构 并行 优化 任务划分 heterogeneous parallel optimization task partitioning
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