异构计算和现实世界的应用

V. Bui, T. Pham, Huy Nguyen, Hoang Nhi Tran Gia, Tauheed Khan Mohd
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引用次数: 0

摘要

近年来,计算科学中的图形处理单元(Graphics Processing Units, gpu)有效地推动了计算系统在各种电子设备中实现更高的计算能力。与多核中央处理器(cpu)相结合,cpu和gpu不可避免的集成被认为是未来高性能的新趋势。除了融合CPU和GPU芯片的设计外,还对异构处理技术进行了多次探索。这篇调查报告将描述、总结和分析2015年以来的一些最新研究,以描绘可以提高计算硬件性能或能源效率的技术。然后,我们看看协同CPU-GPU方法在运行时和适用性方面。我们确信这份报告可以提供深入了解CPU-GPU应用程序的知识,并帮助找到这些处理器的未来机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Heterogeneous Computing and The Real-World Applications
In recent years, Graphics Processing Units (GPUs) in computational science have effectively driven the computing system to achieve higher computational power in various electronic devices. Combining with multi-core Central Processing Units (CPUs), the inevitable CPU-GPU integration is considered the new high-performance trend of the future. There have been multiple explorations on heterogeneous processing techniques, alongside the design of fused CPU and GPU chips. This survey paper will describe, summarize, and analyze some of the latest research from 2015 to map the techniques that can improve this computation hardware’s performance or energy efficiency. We then take a look at the collaborative CPU-GPU approaches with regards to runtime and applicability. We have certainty that this report can provide insights into the knowledge of CPU-GPU applications and help find future opportunities for these processors.
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