A Software Support System for Parallel Processing in Multiprocessor Clusters

这项工作是作为研究规划补助金（RPG）资助。共享内存，多处理器工作站集群的可用性提供了机会，同时应用共享内存和分布式内存并行处理技术，以一个单一的问题。 然而，软件系统，促进这种双层并行处理范例，并允许程序员，编译器，和运行时系统，以最好地利用该平台提供的计算能力还没有。 本研究的长期目标有三个：（1）提供一种软件系统，该软件系统提供关于期望产生最佳性能的分区方法和集群配置的建议，（2）开发一种通信库，该通信库利用单一语法处理共享和分布式存储器通信，以及（3）将咨询系统和通信库合并到透明地处理处理器间通信的数据并行编译器中。 在研究规划阶段，这是由该补助金的支持，四个初步步骤实现长期研究目标将完成。 (a)的多处理器集群的计算和通信特性的特点。(b)将开发表现出模板数据依赖性的应用程序的性能的数学模型。(c)咨询系统将设计和实施的初始数学模型。(d)目前的机构的研究共享内存和分布式内存通信库和数据并行编译器将进行调查，以确定最佳的方法开发的双层通信库，并将该库纳入现有的编译器。 ***

This effort is funded as a Research Planning Grant (RPG). The availability of shared-memory, multiprocessor workstation clusters offers the opportunity for the simultaneous application of shared memory and distributed memory parallel processing techniques to a single problem. However, software systems that facilitate this dual-level parallel processing paradigm and allow the programmer, compiler, and run-time system to make the best use of the computational power offered by this platform are not yet available. The long-term goal of this research is threefold: (1) to provide a software system that furnishes advice regarding the partitioning methods and cluster configuration expected to yield the best performance, (2) to develop a communication library that handles both shared and distributed memory communications with a single syntax, and (3) to incorporate both the advisory system and the communication library into a data-parallel compiler that transparently handles interprocessor communication. During the research planning phase, which is being supported by this grant award, four initial steps toward the long-term research goals will be accomplished. (a) The computation and communication characteristics of the multiprocessor cluster will be characterized. (b) Mathematical models of performance of applications that exhibit stencil data dependencies will be developed. (c) The advisory system will be designed and implemented with the initial mathematical models. (d) The current body of research on shared memory and distributed memory communication libraries and data-parallel compilers will be surveyed to determine the best approach for developing the dual-level communication library and incorporating the library into existing compilers. ***