Research Initiation Award: Parallel Program Portability with Coarse-Grained Dataflow Computing

将研究一种粗粒度数据流(CGD)计算虚拟机模型，用于在MIMD体系结构上开发并行程序的编程环境。将使用三个标准对这一范例进行评估：(A)可移植到广泛的并行体系结构，(B)对性能监测和调试的有效支持，以及(C)易用性。为了研究这一范例的可移植性，我们开发了一个在MIMD体系结构上可移植并行编程的运行时系统。到目前为止，已经使用Charge实现了许多现实生活中的应用程序，从而使其成为一个有效的试验台。为了研究CGD作为一种可移植编程范例的有效性，将在Unix工作站网络上开发一个用于性能监测、检测和调试的综合环境Intreids。使用Intreids开发的程序将能够在广泛的MIMD架构上高效运行，而无需更改。在单一环境中，Intreids将能够比较不同MIMD计算机上的并行程序的性能。这将允许确定有效、可移植地实施CGD范例所需的体系结构和操作系统级别的支持。

A coarse-grained data flow (CGD) virtual machine model of computing for the development of a programming environment for parallel programs on MIMD architectures will be investigated. This paradigm will be evaluated using three criteria: (a) portability across a wide range of parallel architectures, and (b) effective support for performance monitoring and debugging, and (c) ease of use. To study the portability of this paradigm, Charm, a run time system for portable parallel programming on MIMD architectures has been developed. To date, numerous reallife applications have been implemented using Charm, thus making it an effective testbed. To study the effectiveness of CGD as a portable programming paradigm, Intrepid - an integrated environment for performance monitoring, instrumentation and debugging, will be developed on a network of Unix workstations. Programs developed using Intrepid will be capable of running efficiently on a wide range of MIMD architectures without change. In a single environment, Intrepid will enable the comparison of the performance of parallel programs on different MIMD computers. This will permit the identification of architectural and operating system level support that is required for the efficient, portable implementation of the CGD paradigm.