一种与机器无关的并行编程方法

Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications Pub Date : 1990-03-07 DOI:10.1109/PARBSE.1990.77165

G. Riccardi, B. Traversat, U. Chandra

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引用次数: 1

摘要

描述了一种用于以与机器无关的方式指定并行性的多任务处理模型。并行程序被分解为一组处理本地或共享数据的并发任务。任务的计算被描述为原子动作或活动的计算。软件工具将多任务规范转换为程序的并行表示。主从执行模型用于在各种并行体系结构上提供机器独立性、可靠性和负载均衡执行。该模型已在由工作站、共享内存多处理器和超级计算机组成的异构网络上实现。本文给出了在一个多多普勒雷达气象项目中使用这种方法的一个例子

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A machine-independent approach to parallel programming

A multitasking model for specifying parallelism in a machine-independent fashion is described. Parallel programs are decomposed into a set of concurrent tasks which work on local or shared data. The computation of a task is described as the computation of atomic actions or activities. Software tools translate multitasking specifications into a parallel representation of the program. A master-slaves execution model is used to provide machine independence, reliability, and load-balanced execution on a variety of parallel architectures. This model has been implemented on a heterogeneous network of workstations, a shared-memory multiprocessor, and a supercomputer. An example of the use of this methodology for a multiple-Doppler radar meteorology program is presented.<>

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Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications

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