CISE Postdoctoral Research Associateship in Experimental Computer Science: Processor Allocation in Hierarchical Heterogeneous Networks of Workstations

9625875 Lilja，大卫J明尼苏达大学双城分校 CISE博士后研究协会在实验计算机科学：处理器分配在分层异构网络的工作站 工作站网络的广泛可用性和合理的成本使其成为传统超级计算机系统的有吸引力的替代方案。 然而，在异构系统中的并行应用程序的执行和通信时间的一致性程度低，可能会对并行任务调度解决方案施加显着的约束。 这项工作的主要目标是开发技术，用于确定适当的数量和类型的处理器分配给每个应用程序在一个异构网络的多程序工作站，并匹配不同的硬件平台的计算和通信要求的特定应用任务。 建议的“匹配因子”，它提供了一个性能指标配对的硬件和应用程序在一个专用的环境中，将扩展与多程序工作站网络的调度算法与异构处理器类型和互连网络。 这项工作的高度实验性将大大受益于与明尼苏达大学计算科学家和工程师的互动，以及该大学独特的硬件和软件资源的可用性。 ***

9625875 Lilja, David J. University of Minnesota, Twin Cities CISE Postdoctoral Research Associateships in Experimental Computer Science: Processor Allocation in Hierarchical Heterogeneous Networks of Workstations The wide availability and reasonable cost of networks of workstations makes them an attractive alternative to traditional supercomputer systems. However, the low degree of uniformity in the execution and communication times of parallel applications in heterogeneous systems can impose significant constraints on the possible parallel task scheduling solutions. The primary goals of this work are to develop techniques for determining the appropriate number and type of processors to be allocated to each application in a heterogeneous network of multiprogrammed workstations, and to match the diverse hardware platforms to the computational and communication requirements of the specific application tasks. The proposed "matching factor," which provides a performance indicator for pairing hardware and applications in a dedicated environment, will be extended with scheduling heuristics for a network of multiprogrammed workstations with heterogeneous processor types and interconnection networks. The highly experimental nature of this work will greatly benefit from the interaction with computational scientists and engineers working at the University of Minnesota, and from the availability of the University's unique hardware and software resources. ***