Design Methodologies for Developing Multiprocessor Super- computers

开发多处理器超级计算机的设计方法

• 批准号: 8421022
• 负责人: Kai Hwang
• 金额: $ 16万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1985
• 资助国家: 美国
• 起止时间: 1985-09-01 至 1988-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8421022&HistoricalAwards=false
• 关键词: Design; Methodologies; Developing; Multiprocessor; Super

This project investigates two design methodologies, dynamic systolization and macro-dataflowing, useful in developing multiprocessor supercomputers. The concept of multiprocessor element systolization is generalized from pipeline chaining implemented in Cray X-MP. This technique offers a new network approach to designing reconfigurable systolic arrays for fast evaluation of compound functions and special algorithms. Macro-dataflowing refers to an event-driven approach to developing dataflow supercomputers. Macro-dataflow is effective to support multitasking with variable granularity. The studies include principles of dynamic systolization and macro-dataflowing, development of functional mechanisms, multiprocessing software supports, system reconfiguration techniques, multitasking benchmark studies through simulation experiments, and supercomputer performance evaluations. The major application area emphasizes the solution of Partial Differential Equation (PDE) problems.

本项目研究两种设计方法，动态 收缩和宏观收缩，有助于开发 多处理器超级计算机 多处理器元件的概念 系统化是从Cray中实现的流水线链接中推广而来的 X-MP 这种技术提供了一种新的网络方法来设计 用于化合物快速评价的可重构脉动阵列 函数和特殊算法。 宏观调控指的是 事件驱动的方法来开发可移植的超级计算机。 Macro-technology是有效的支持多任务与变量 粒度 这些研究包括动态收缩原理 宏观调控，功能机制的发展， 多处理软件支持，系统重新配置技术， 通过模拟实验进行多任务基准研究， 超级计算机性能评估 主要应用领域 着重于偏微分方程的求解 问题