Multi-resolution Co-design modeling: A network-on-chip model

Soroosh Gholami, Hessam Sarjoughian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


This paper proposes a multi-resolution co-design modeling approach where hardware and software parts of systems are loosely represented and composable. This approach is shown for Network-on-Chips (NoC) where the network software directs communications among switches, links, and interfaces. The complexity of such systems can be better tamed by modeling frameworks for which multi-resolution model abstractions along system's hardware and software dimensions are separately specified. Such frameworks build on hierarchical, component-based modeling principles and methods. Hybrid model composition establishes relationships across models while multi-resolution models can be better specified by separately accounting for multiple levels of hardware and software abstractions. For Network-on-Chip, the abstraction levels are interface, capacity, flit, and hardware with resolutions defined in terms of object, temporal, process, and spatial aspects. The proposed modeling approach benefits from co-design and multi-resolution modeling in order to better manage rich dynamics of hardware and software parts of systems and their network-based interactions.

Original languageEnglish (US)
Title of host publication2016 Winter Simulation Conference
Subtitle of host publicationSimulating Complex Service Systems, WSC 2016
EditorsTheresa M. Roeder, Peter I. Frazier, Robert Szechtman, Enlu Zhou
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages12
ISBN (Electronic)9781509044863
StatePublished - Jul 2 2016
Event2016 Winter Simulation Conference, WSC 2016 - Arlington, United States
Duration: Dec 11 2016Dec 14 2016

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736


Other2016 Winter Simulation Conference, WSC 2016
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications


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