High Performance Computing Productivity Model Synthesis
High Performance Computing Productivity Model Synthesis
复制标题
高性能计算生产力模型综合
DOI：
10.1177/1094342004048542
复制
发表时间：
2004
期刊：
影响因子：
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通讯作者：
J. Kepner
中科院分区：
文献类型：
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作者：
J. Kepner
国防高级研究计划局 (DARPA) 高生产力计算系统 (HPCS) 计划正在开发能够以与基础技术改进速度相称的速度为用户提供更高价值的系统。例如，如果相关技术是硅，则此类系统的目标将是按照摩尔定律，每 18 个月将生产率（或价值）翻一番。关键问题是我们如何定义和衡量生产力，以及影响生产力的底层技术是什么。本文的目标是将几个不同的生产力模型综合为一个能够捕获所有模型主要特征的模型。此外，我们将通过纳入软件工程和高性能计算 (HPC) 社区的选定结果，开始将模型建立在实证基础上。对模型进行渐近分析，以检查其在某些特殊情况下是否有意义。该模型被推断到 HPC 环境，并探讨了几个示例，包括 HPC 中心、HPC 用户和交互式网格计算。最后，该模型暗示了一种截然不同的 HPC 系统观察方式，其中用户必须被纳入考虑范围，而创新的硬件是降低 HPC 软件极高成本的关键方面。
The Defense Advanced Research Projects Agency (DARPA) High Productivity Computing System (HPCS) program is developing systems that deliver increased value to users at a rate commensurate with the rate of improvement in the underlying technologies. For example, if the relevant technology was silicon, the goal of such a system would be to double in productivity (or value) every 18 months, following Moore's law. The key questions are how we define and measure productivity, and what the underlying technologies that affect productivity are. The goal of this paper is to synthesize from several different productivity models a single model that captures the main features of all the models. In addition we will start the process of putting the model on an empirical foundation by incorporating selected results from the software engineering and high performance computing (HPC) communities. An asymptotic analysis of the model is conducted to check that it makes sense in certain special cases. The model is extrapolated to a HPC context and several examples are explored, including HPC centers, HPC users, and interactive grid computing. Finally, the model hints at a profoundly different way of viewing HPC systems, where the user must be included in the equation, and innovative hardware is a key aspect to lowering the very high costs of HPC software.