一个快速的两级逻辑最小化器

P. Rao, J. Jacob
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引用次数: 6

摘要

我们提出了一种高效的基于立方体的布尔函数最小化算法NEWMIN。该算法的显著特点是它不生成所有的素数立方,并且使用高效的启发式方法获得最小的SPC覆盖。这可以节省计算时间,并减少某些函数类的解决方案的成本。NEWMIN原型实现的性能与ESPRESSO(目前可用的最著名的逻辑最小化器)的性能进行了比较。我们的算法有效地处理了ESPRESSO发现困难的阿喀琉斯之踵功能。此外,从结果中可以明显看出,NEWMIN在一些函数(如奇偶函数、循环函数和大多数随机生成的函数)上表现出更好的性能。
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A fast two-level logic minimizer
We present NEWMIN, an efficient cube-based algorithm for minimization of single Boolean functions. The salient features of the algorithm are that it does not generate all the prime cubes, and highly efficient heuristics are used do obtain a minimal SPC cover. This leads to savings in computation time and reduces the cost of the solution as well for some classes of functions. The performance of a prototype implementation of NEWMIN is compared to that of ESPRESSO, the best known logic minimizer currently available. Our algorithm efficiently handles Achilles' heel functions which ESPRESSO finds difficult. Further, as is evident from the results, NEWMIN exhibits better performance on several classes of functions such as parity functions, cyclic functions and most randomly generated functions.
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