U.S.-Polish Collaborative Research on Efficient System Support for Data-Parallel MIMD

9401222 Scherson这项美国-波兰联合合作研究基金是由加州大学欧文分校信息和计算机科学系的Isaac D.Scherson博士和华沙大学信息学研究所的Piotr Chrzastowski-Wachtel博士共同提供的，旨在研究“对数据并行MIMD的高效系统支持”。一种名为P3的新型大规模并行体系结构导致了一些与超大型SIMD系统的可行性、适用性和性能相关的重要未决问题的确定。然而，由于最近商业机器倾向于在MIMD机器上进行SPMD风格的编程的强烈趋势，研究人员正在放松他们之前的SIMD假设，并将他们的知识应用于SPMD系统支持问题。具体地说，他们的目标是对SPMD范例进行建模，并减少甚至消除障碍同步，以最大限度地减少浪费的处理器空闲。为此，美国研究人员将与波兰研究人员合作，后者在代数和并发模型方面做了大量工作。此外，研究人员希望这次国际交流将为他们在科学数值技术方面的持续研究(MIP-9106949和MIP-9205737)以及非常快速和高效的互连网络的发展提供新的线索。这项拟议中的信息和计算机科学与工程研究通过使美国和波兰的顶尖专家能够将互补的人才结合在一起，并在相互感兴趣和能力很强的领域汇集研究资源，实现了推进科学的计划目标。***

9401222 Scherson This U.S.-Poland Joint Collaborative Research grant to study "Efficient System Support for Data-Parallel MIMD" is between Dr. Isaac D. Scherson of the Department of Information and Computer Science, University of California Irvine, and Dr. Piotr Chrzastowski-Wachtel of the Informatics Institute, Warsaw University. A novel massively parallel architecture, dubbed P3, led to the identification of a number of important open problems related to the feasibility, applicability and performance of very large SIMD systems. However, because of the strong recent trend among commercial machines towards the SPMD-style of programming on MIMD machines, the researchers are relaxing their previous SIMD assumptions and applying their knowledge to SPMD system support issues. Specifically, their goal is to model the SPMD paradigm and reduce or even eliminate barrier synchronization to minimize wasteful processor idling. To this end, the American researchers will collaborate with the Polish researchers, who have performed extensive work on algebras and models of concurrency. Additionally, the researchers hope this international exchange will shed new light on their continuing research (MIP-9106949, MIP-9205737) on scientific numerical techniques, and the development of very fast and efficient interconnective networks. This proposed research in information and computer science and engineering fulfills the program objectives of advancing science by enabling leading experts in the U.S. and Poland to combine complementary talents and pool research resources in areas of strong mutual interest and competence. ***