An effective matrix compression method for GPU-accelerated thermal analysis

Lih Yih Chiou, Liang Ying Lu, Chieh Yu Lin

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

Abstract

Three-dimensional integrated circuits are expected to face increasingly severe thermal challenges and cost issues as the number of stacked ICs increases. Thermal analysis for 3D ICs is urgently required to assist system designers at the early phase of design to identify hot zones. Most thermal analyses obtain detailed temperature distribution by large matrix operations, and hence reduce analysis performance. Accordingly, we propose a compressed and combined sparse row (CCSR) matrix format to be used in the proposed effective matrix compression (EMC) method for matrix multiplication on GPU. The experimental results show EMC using CCSR is on average 44.93 times faster than matrix multiplication without any special compression format and on average at least 3.09 times faster than other compression formats.

Original languageEnglish
Title of host publication2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479962754
DOIs
Publication statusPublished - 2015 May 28
Event2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015 - Hsinchu, Taiwan
Duration: 2015 Apr 272015 Apr 29

Publication series

Name2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015

Other

Other2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015
CountryTaiwan
CityHsinchu
Period15-04-2715-04-29

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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