Limits on high-performance applications

SPIE ITCom Pub Date : 2001-07-27 DOI:10.1117/12.434877
J. Potter
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Abstract

There is evidence that some high performance applications such as Air Traffic Control and other real time dynamic IT and database tasks are NP-hard. This paper proposes that it is the nature of the basic computing model, not the tasks themselves that results in intractable situations, and that it is the communication component of many high performance IT applications that makes them intractable. Consequently, bigger, faster, higher performance hardware using this model cannot solve these tasks. Networks and clusters of computers simply move the communication bottleneck, ultimately aggravating rather than helping the situation. New models of computing are needed. 'It is no easy matter to root out old prejudices, or to overturn opinions which have acquired an establishment by time, custom and great authorities.' It is proposed that the associative model can significantly reduce if not eliminate this bottleneck for many commercial high-performance applications. Moreover, the associative model is well suited for the coming generation of high performance optical, biological and polymer computers.
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高性能应用程序的限制
有证据表明,一些高性能应用程序(如空中交通管制和其他实时动态IT和数据库任务)是np困难的。本文提出是基本计算模型的本质,而不是任务本身导致了难以处理的情况,并且是许多高性能it应用程序的通信组件使它们难以处理。因此,使用这种模型的更大、更快、更高性能的硬件无法解决这些任务。网络和计算机集群只是移动了通信瓶颈,最终使情况恶化,而不是有所帮助。我们需要新的计算模式。“要根除旧的偏见,或推翻因时间、习俗和权威而确立的观点,绝非易事。”对于许多商用高性能应用来说,关联模型即使不能消除这一瓶颈,也能显著减少这一瓶颈。此外,联想模型非常适合下一代高性能光学、生物和聚合物计算机。
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