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A Personal Perspective on the State of HPC in 2013

机译:2013年惠普州的个人观点

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This paper is fundamentally a personal perspective on the sad state of High Performance Computing (HPC, or what was known once as Supercomputing). It arises from the author's current experience in trying to find computing technology that will allow codes to run faster: codes that have been painstakingly adapted to efficient performance on parallel computing technologies since around 1990, and have allowed effective 10-fold increases in computing performance at 5 year HPC up-grade intervals, but for which the latest high-count multi-core processor options fail to deliver improvement. The presently available processors may as well not have the majority of their cores as to use them actually slows the code - hard-won budget must be squandered on cores that will not contribute. The present situation is not satisfactory: there are very many reasons why we need computational response, not merely throughput. There are a host of cases where we need a large, complex simulation to run in a very short time. A simplistic calculation based on the nominal performance of some of the big machines with vast numbers of cores would lead one to believe that such rapid computation would be possible. The nature of the machines and the programming paradigms, however, remove this possibility. Some of the ways in which the computer science community could mitigate the hardware shortfalls are discussed, with a few more off the wall ideas about where greater compute performance might be found.
机译:本文基本上是对高性能计算悲伤状态的个人视角(HPC,或者作为超级计算的内容。它出现了作者目前试图找到计算技术的经验,允许代码更快地运行:自1990年左右以来一直适应并行计算技术上的高效性能的代码,并且在计算性能方面允许有效的10倍增加增加5年HPC上级间隔,但最新的高计数多核处理器选项未能提供改进。目前可用的处理器也可能没有大多数核心,因为使用它们实际上减慢了代码 - 赢得了赢得的预算必须浪费在不会贡献的核心上。目前的情况并不令人满意:我们需要计算响应的原因很多,而不仅仅是吞吐量。我们需要大量的情况,我们需要一个大型,复杂的模拟,以在很短的时间内运行。基于具有大量核心的一些大机器的标称性能的简单计算将导致一个相信这种快速计算是可能的。但是,机器的性质和编程范例删除了这种可能性。讨论了计算机科学界可以减轻硬件缺陷的一些方式,其中一些墙壁想法可以找到更大的计算性能。

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