Probabilistic Verification for Reliability of a Two-by-Two Network-on-Chip System

The work

AuthorsRiley Roberts; Benjamin Lewis; Arnd Hartmanns; Prabal Basu; Sanghamitra Roy; Koushik Chakraborty; Zhen Zhang
Editors
Typemisc
Year2021
Citekeyroberts2021probabilistic

Where it appeared

Published inFormal Methods for Industrial Critical Systems (FMICS 2021)
SeriesLecture Notes in Computer Science
Pages232--248

Identifiers

arXiv2108.13148 from its landing_page_url
DOI10.1007/978-3-030-85248-1_16

From bibtex.

Abstract

Modern network-on-chip (NoC) systems face reliability issues due to process and environmental variations. The power supply noise (PSN) in the power delivery network of a NoC plays a key role in determining reliability. PSN leads to voltage droop, which can cause timing errors in the NoC. This paper makes a novel contribution towards formally analyzing PSN in NoC systems. We present a probabilistic model checking approach to observe the PSN in a generic 2x2 mesh NoC with a uniform random traffic load. Key features of PSN are measured at the behavioral level. To tackle state explosion, we apply incremental abstraction techniques, including a novel probabilistic choice abstraction, based on observations of NoC behavior. The Modest Toolset is used for probabilistic modeling and verification. Results are obtained for several flit injection patterns to reveal their impacts on PSN. Our analysis finds an optimal flit pattern generation with zero probability of PSN events and suggests spreading flits rather than releasing them in consecutive cycles in order to minimize PSN.

A copy is held

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How it got here

How it got hereagent via bibtex
Added2026-09-17 22:07 UTC
Approved bya person 2026-10-05 21:24 UTC

Cite it as

@misc{roberts2021probabilistic,
  title        = {Probabilistic Verification for Reliability of a Two-by-Two Network-on-Chip System},
  author       = {Riley Roberts and Benjamin Lewis and Arnd Hartmanns and Prabal Basu and Sanghamitra Roy and Koushik Chakraborty and Zhen Zhang},
  year         = {2021},
  journal      = {Formal Methods for Industrial Critical Systems (FMICS 2021)},
  series       = {Lecture Notes in Computer Science},
  pages        = {232--248},
  doi          = {10.1007/978-3-030-85248-1_16},
}

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