
A parallel algorithm for constructing binary decision diagrams is described. The algorithms treats binary decision graphs as minimal finite automata. The automation for a Boolean function with AND as its main operation (OR operation) is obtained by forming the intersection (union) of the regular sets associated with its operands. The union and intersection operations are implemented by a product construction on the minimal automata for the regular sets. After each product construction step the automaton must be reminimized. The parallel algorithm is designed so that it is possible to find the minimal representations for several Boolean operations in parallel. The level of each operation is determined. Operations at the same level can be performed in parallel without any communication between processors. If there are relatively few operations in one level, then the product generation step is divided into several suboperations and the results are merged
FOS: Computer and information sciences, Other information and computing sciences not elsewhere classified, 89999 Information and Computing Sciences not elsewhere classified
FOS: Computer and information sciences, Other information and computing sciences not elsewhere classified, 89999 Information and Computing Sciences not elsewhere classified
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 34 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
