Stochastic multi-objective Pareto-optimization framework for fully automated ab initio network-on-chip design

Tzyy Juin Kao, Wolfgang Fink

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


With the advent of multi-core processors, network-on-chip design has been crucial in addressing network performances, such as bandwidth, power consumption, and communication delays when dealing with on-chip communication between the increasing number of processor cores. As the numbers of cores increase, network design becomes inherently more complex. Therefore, there is a critical need in soliciting computer aid in determining network configurations that afford optimal performance given multi-objectives, such as resource and design constraints. We have devised a stochastic multi-objective Pareto-optimization framework that fully automatically explores the space of possible network configurations to determine optimal network latencies, power consumption, and the corresponding link allocations, i.e., the actual network-on-chip design, ab initio with only the number of routers given. For a given number of routers, average network latency and power consumption as example performance objectives can be displayed in form of Pareto-optimal fronts, thus not only offering a powerful automatic network-on-chip design tool, but also affording trade-off studies for the chip designers.

Original languageEnglish (US)
Article number101686
JournalJournal of Systems Architecture
StatePublished - Feb 2020
Externally publishedYes


  • Automated ab initio network-on-chip design
  • BookSim2.0 and gem5
  • Multi-objective stochastic Pareto-optimization
  • Network latency
  • Power consumption

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture


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