A Study on Improving Power-Consumption Performance Ratio in GPGPU Computing
A Study on Improving Power-Consumption Performance Ratio in GPGPU Computing
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DOI：
10.1109/icnc.2011.53
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发表时间：
2011-11
期刊：
影响因子：
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通讯作者：
Tsubasa Matsumoto;Saneyasu Yamaguchi;T. Sakai
中科院分区：
文献类型：
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作者：
Tsubasa Matsumoto;Saneyasu Yamaguchi;T. Sakai
计算机的功耗增加已经成为计算机系统中的重要问题。特别是在高性能计算中，其巨大的消耗是一个严重的问题。本文分析了GPGPU计算性能与功耗的关系，并提出了一种提高功耗性能比的方法。首先，我们介绍一种测量GPU功耗的方法。其次，我们探讨了性能和功耗，并讨论了一种方法来提高其性能，而不大幅增加功耗。我们的实验结果表明，内存访问合并，利用共享内存，并利用大量的线程提高功耗性能比。
Increased power consumption of computer has become an important issue in computer systems. Especially in high performance computing, its huge consumption is a serious issue. In this paper, we analyze relationship between performance and power consumption on GPGPU computing, and present a method of improving power-consumption performance ratio. First, we introduce an approach to measuring power consumption of a GPU. Second, we explore performance and power consumption, and discuss a way to improve its performance without substantial power consumption increase. Our experimental results demonstrate that memory access coalescing, utilizing shared memory, and making use of a large quantity of threads improve power-consumption performance ratio.