High Performance Computing in Europe and USA: A Comparison

E. Strohmaier, H. Meuer
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Abstract

In the middle of the eighties one author of this paper1started to collect and publish statistics about the supercomputer market. At that time it was rather simple to decide which system qualified as supercomputer. The performance gap between vector system and regular mainframes was too large to leave any doubts. Beginning of the nineties this situation had gradually changed. A considerable number of companies competed in the HPC market with a large variety of architectures such as vector computer, mini vector computer, SIMD (Singel Instruction on Multiple Data) and MPP (Massive Parallel Processing) systems. A new definition was needed to decide which of these systems was a “supercomputer”. This definition needed to be architecture independent. Because of Moore’s Law this definition also had to be dynamic in nature to deal with the constant increase in computer performance.
欧洲和美国的高性能计算:比较
在八十年代中期,本文的一位作者开始收集和发表关于超级计算机市场的统计数据。在那个时候,决定哪个系统有资格成为超级计算机是相当简单的。矢量系统和常规大型机之间的性能差距太大,无法留下任何疑问。九十年代初,这种情况逐渐发生了变化。相当多的公司在高性能计算市场上竞争,它们的架构种类繁多,如矢量计算机、微型矢量计算机、SIMD(单指令多数据)和MPP(大规模并行处理)系统。需要一个新的定义来决定这些系统中哪一个是“超级计算机”。这个定义需要与体系结构无关。由于摩尔定律,这个定义在本质上也必须是动态的,以应对计算机性能的不断提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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