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引用次数: 4

摘要

并行和分布式计算系统提供了计算能力的巨大飞跃,可以用于解决许多重要问题。只要有几台计算机以某种方式相互连接,以便在一台机器上运行的程序或过程可以将控制转移到另一台机器上运行的过程,就存在分布式处理的潜力。在这种环境中,我们希望将程序的模块最佳地分配给特定的处理器。优化的主要目标有两个,即最小化程序的运行时间和提高算法的效率。我们在这项工作中的主要任务是开发一个允许现有顺序算法易于并行化的环境,其中潜在的并行性很容易适应顺序算法。本文讨论了用于解决电路划分问题的并行化高级搜索启发式技术(Areibi和Vannelli, 1994)。
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Distributed advanced search techniques for circuit partitioning
Parallel and distributed computing systems offer the promise of a quantum leap in the computing power that can be brought to bear on many important problems. The potential for distributed processing exists whenever there are several computers interconnected in some fashion so that a program or procedure running on one machine can transfer control to a procedure running on another. In such an environment we wish to assign optimally the modules of a program to specific processors. The main objective in optimizing is twofold, minimizing the running time of the program and improving the efficiency of the algorithm. Our main task in this work is to develop an environment that allows easy parallelization of the existing sequential algorithms, in which the potential parallelism fits easily into the sequential algorithm. This paper discusses techniques to parallelize advanced search heuristics (Areibi and Vannelli, 1994) used to solve the circuit partitioning problem.
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