An Exploratory Performance Environment for Parallel Systems

本研究规划项目的主要目标是 规定一个绩效评估环境， 有效的，高效的，创造性的并行计算机编程 系统. 由于并行计算机系统的复杂性使得 程序性能评估和预测困难，工具 采用实验方法观察、分析、展示 系统活动是必不可少。 关于计划的准确见解 执行，特别是在未来的大型系统上，只有当 创新技术被用于仪器仪表、数据 管理、可视化和知识工程。 在这 本项目将研究属性之间的关系， 并行程序和性能表示的属性 在可扩展的多计算机系统上执行期间产生。 的 特定观点和统计数据作为指标的有效性和实用性 和程序性能的预测器进行研究。

The principal goal of this research planning project is to prescribe a performance evaluation environment that supports the effective, efficient, and creative programming of parallel computer systems. Since the complexity of parallel computer systems makes program performance evaluation and prediction difficult, tools employing the experimental method to observe, analyze, and display system activity are essential. Accurate insights about program execution, particularly on future large systems, are possible only if innovative techniques are used in the areas of instrumentation, data management, visualization, and knowledge engineering. Within this context, this project will study the relationships between properties of parallel programs and properties of the performance representations produced during execution on scalable multicomputer systems. The validity and utility of particular views and statistics as indicators and predictors of program performance are to be investigated.