Graph multiset transformation: a new framework for massively parallel computation inspired by DNA computing

  • Authors:
  • Hans-Jörg Kreowski;Sabine Kuske

  • Affiliations:
  • Department of Computer Science, University of Bremen, Bremen, Germany 28334;Department of Computer Science, University of Bremen, Bremen, Germany 28334

  • Venue:
  • Natural Computing: an international journal
  • Year:
  • 2011

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Abstract

In this paper, graph multiset transformation is introduced and studied as a novel type of parallel graph transformation. The basic idea is that graph transformation rules may be applied to all or at least some members of a multiset of graphs simultaneously providing a computational step with the possibility of massive parallelism in this way. As a consequence, graph problems in the class NP can be solved by a single computation of polynomial length for each input graph.