System Level Issues for Multiparadigm Computing and SIMD and MIMD/SIMD Architectures

标题：和MIMD/SIMD体系结构并行计算应用程序在最适合有效利用其并行性的计算范例类型上有很大的不同。目前用于并行硬件的软件系统仅支持单一范例计算。本研究项目的目标是研究系统级对高效多范例并行计算的支持。以前关于协调语言和多范例顺序编程语言的工作为这项研究奠定了坚实的基础，尽管还需要重大的新想法。尽管当前的高性能计算机体系结构正朝着组合的MIMD/SIMD组织发展，但对这种混合计算机体系结构的软件和系统支持很少。因此，这项研究还将集中在大规模并行SIMD和MIMD/SIMD机器的多范例计算方面，包括作为试验床架构的重写规则机器。研究结果将使未来的系统设计人员能够更好地理解在并行环境中有效支持多范例计算的工程权衡。这项研究的结果有望提高未来高性能大规模并行计算系统的编程简易性。

TITLE: and MIMD/SIMD Architectures Parallel computing applications differ widely in the type of computational paradigm that is best suited to efficiently exploit their parallelism. Current software systems for parallel hardware support only single-paradigm computing. The objective of this research project is to investigate system-level support for efficient multiparadigm parallel computation. Previous work on coordination languages and multiparadigm sequential programming languages form a solid foundation for this research, although significant new ideas are required. Although current high-performance computer architectures are moving toward a combined MIMD/SIMD organization, very little software and system support exists for such hybrid computer architectures. This research will thus also focus on aspects of multiparadigm computing for massively parallel SIMD and MIMD/SIMD machines, including the Rewrite-Rule Machine as a testbed architecture. The research results will enable future systems designers to better appreciate the engineering trade-offs to efficiently support multiparadigm computing in a parallel environment. The results of this research are expected to enhance the future programming ease of high-performance massively parallel computing systems.