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  • Most of presently used academic logic synthesis tools, including SIS and ABC, are fully deterministic. Up to the knowledge of the authors, this holds for all available commercial tools as well. This means that no random decisions are made; the algorithms fully rely on deterministic heuristics. In this paper we present several hints of insufficiency of such an approach and show examples of perspective randomized logic synthesis algorithms. Judging from our experiments, these algorithms have a higher potential of performing better than the deterministic ones. Further we study how much randomness is actually needed for the algorithms to perform well. We show that some algorithms require only a small amount of randomness, while still taking full advantage of their randomized nature. On the other hand, some algorithms require a very high level of randomness to perform well. We propose reasons for this behavior and show a way of computing the necessary measure of randomness required.
  • Most of presently used academic logic synthesis tools, including SIS and ABC, are fully deterministic. Up to the knowledge of the authors, this holds for all available commercial tools as well. This means that no random decisions are made; the algorithms fully rely on deterministic heuristics. In this paper we present several hints of insufficiency of such an approach and show examples of perspective randomized logic synthesis algorithms. Judging from our experiments, these algorithms have a higher potential of performing better than the deterministic ones. Further we study how much randomness is actually needed for the algorithms to perform well. We show that some algorithms require only a small amount of randomness, while still taking full advantage of their randomized nature. On the other hand, some algorithms require a very high level of randomness to perform well. We propose reasons for this behavior and show a way of computing the necessary measure of randomness required. (en)
Title
  • How Much Randomness Makes a Tool Randomized?
  • How Much Randomness Makes a Tool Randomized? (en)
skos:prefLabel
  • How Much Randomness Makes a Tool Randomized?
  • How Much Randomness Makes a Tool Randomized? (en)
skos:notation
  • RIV/68407700:21240/11:00180827!RIV13-MSM-21240___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/09/1668), Z(MSM6840770014)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
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  • 202801
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21240/11:00180827
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • logic synthesis; minimization; randomized algorithms; derandomization; Espresso; ABC (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [B98A87513EF6]
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Fišer, Petr
  • Schmidt, Jan
http://linked.open...n/vavai/riv/zamer
http://localhost/t...ganizacniJednotka
  • 21240
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