Consumer Level Multi-GPU Systems Utilization, Efficiency, and Optimization

被引：0

作者：

Ross, John Brandon ^{[1
]}

机构：

[1] Univ Alabama, Huntsville, AL 35899 USA

来源：

2013 PROCEEDINGS OF IEEE SOUTHEASTCON | 2013年

关键词：

Graphics Processing Unit; GPU; Multi-GPU; Multi-Card; High Performance Computing; General Purpose GPU;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper focuses on the basic techniques that a common programmer can use to utilize multiple consumer level GPUs, commonly available to them at home or through purchase, to assist them in massively parallel computation in their work. It lays out an experimental framework to determine the best and easiest styles of programming for multiple GPUs to use, without actually using the more complex and available NVIDIA multi-GPU templates and techniques.

引用

页数：8

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