首页> 外文会议>International Conference on Computational Science - ICCS 2003 Pt.4 Jun 2-4, 2003 Melbourne, Australia and St. Petersburg, Russia >A Knowledge Discovery Methodology for Behavior Analysis of Large-Scale Applications on Parallel Architectures
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A Knowledge Discovery Methodology for Behavior Analysis of Large-Scale Applications on Parallel Architectures

机译:并行架构上大规模应用程序行为分析的知识发现方法

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The focus of this paper is the application and extension of the knowledge discovery in databases process developed in PYTHIA recommender system, to analyze the behavior of a DOE ASCI application/hardware pairs in the context of POEMS project. The POEMS project has built a library of models for modeling scalable architectures like those in the ASCI program. Moreover, it supports detail simulation of a variety of state-of-the-art processors and memory hierarchies and incorporates parallel evaluation of discrete-event simulation. The driver application used is SWEEP3D.
机译:本文的重点是在PYTHIA推荐器系统中开发的数据库过程中知识发现的应用和扩展,以分析POEMS项目背景下DOE ASCI应用程序/硬件对的行为。 POEMS项目已经建立了一个模型库,用于对可伸缩体系结构(如ASCI程序中的那些体系结构)进行建模。此外,它支持各种最新处理器和存储器层次结构的详细仿真,并结合了离散事件仿真的并行评估。使用的驱动程序是SWEEP3D。

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