用直接覆盖算法并行处理多值逻辑最小化的经验

Chyan Yang, Onur Oral
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引用次数: 10

摘要

本文报道了一种启发式直接覆盖算法在实际并行计算机系统Intel iPSC/2上的实现。基于直接覆盖算法的CAD工具HAMLET已移植到iPSC/2。并行邻域解耦(PND)是ND的一种并行版本,运行速度比ND快,还有另一种并行ND实现,多分支ND (Multi-ND),它允许每个处理器搜索搜索树的一条路径,直到处理器数量耗尽。在多个分支中搜索保证了获得精确解的更高概率。此外,Multi-ND比PND使用更少的通信,因为一旦一个进程被分配了一个任务,它将与主机保持隔离,直到需要报告其解决方案。结果表明,Multi-ND在最优性和速度上都优于PND。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experiences of parallel processing with direct cover algorithms for multiple-valued logic minimization
The implementation of the direct cover algorithm, a heuristic, on a real parallel computer system, Intel iPSC/2, is reported. A CAD tool, HAMLET, that is based on direct cover algorithms has been ported to iPSC/2. Parallel neighborhood decoupling (PND), a parallel version of ND that runs faster than ND, is used, as well as another parallel implementation of ND, multibranch ND (Multi-ND), which allows each processor to search one path of the search tree until the number of processors is exhausted. Searching in multiple branches guarantees a higher probability of reaching an exact solution. In addition, Multi-ND uses less communication than PND, since once a process is assigned a task it will remain isolated from the host until there is a need to report its solution. The results show that Multi-ND outperforms PND in both optimality and speed.<>
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