On the use of GP-GPUs for accelerating compute-intensive EDA applications

  • Authors:
  • Valeria Bertacco;Debapriya Chatterjee;Nicola Bombieri;Franco Fummi;Sara Vinco;A. M. Kaushik;Hiren D. Patel

  • Affiliations:
  • University of Michigan;University of Michigan;Università di Verona, Italy;Università di Verona, Italy;Università di Verona, Italy;University of Waterloo, CA;University of Waterloo, CA

  • Venue:
  • Proceedings of the Conference on Design, Automation and Test in Europe
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

General purpose graphics processing units (GP-GPUs) have recently been explored as a new computing paradigm for accelerating compute-intensive EDA applications. Such massively parallel architectures have been applied in accelerating the simulation of digital designs during several phases of their development -- corresponding to different abstraction levels, specifically: (i) gate-level netlist descriptions, (ii) register-transfer level and (iii) transaction-level descriptions. This embedded tutorial presents a comprehensive analysis of the best results obtained by adopting GP-GPUs in all these EDA applications.