Quantitative performance evaluation of high-end computing platforms

被引:0
|
作者
Veeraraghavan, Kugesh [1 ]
Sharif, Hamid [1 ]
Nicoll, Alex [1 ]
Ali, Hesham [1 ]
机构
[1] Univ Nebraska, Dept Elect & Comp Engn, Lincoln, NE USA
关键词
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中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Today - we have a wide variety of systems and configurations to choose for our computing needs:; however, there is no knowledge base of which systems have better performance for a given business, scientific or an engineering application. In this paper, we benchmarked the performance of commonly available high-end systems using industry standard benchmark suites. Since most of the currently available benchmarks do not provide a complete evaluation of all system components, we chose to use different benchmarks to measure the performance of low-level, kernel and application specific areas. We have described the architecture and configuration of each system tested and also presented the benchmark results, which reveal the best suited platform for application requirements.
引用
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页码:157 / 165
页数:9
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