Exploring architectural heterogeneity in intelligent vision systems

Nanchini Chandramoorthy, Giuseppe Tagliavini, Kevin Irick, Antonio Pullini, Siddharth Advani, Sulaiman Al Habsi, Matthew Cotter, John Sampson, Vijaykrishnan Narayanan, Luca Benini

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

24 Scopus citations

Abstract

Limited power budgets and the need for high performance computing have led to platform customization with a number of accelerators integrated with CMPs. In order to study customized architectures, we model four customization design points and compare their performance and energy across a number of computer vision workloads. We analyze the limitations of generic architectures and quantify the costs of increasing customization using these micro-architectural design points. This analysis leads us to develop a framework consisting of low-power multi-cores and an array of configurable micro-accelerator functional units. Using this platform, we illustrate dataflow and control processing optimizations that provide for performance gains similar to custom ASICs for a wide range of vision benchmarks.

Original languageEnglish (US)
Title of host publication2015 IEEE 21st International Symposium on High Performance Computer Architecture, HPCA
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-12
Number of pages12
ISBN (Electronic)9781479989300
DOIs
StatePublished - Mar 6 2015
Event21st IEEE International Symposium on High Performance Computer Architecture, HPCA 2015 - Burlingame, United States
Duration: Feb 7 2015Feb 11 2015

Publication series

Name2015 IEEE 21st International Symposium on High Performance Computer Architecture, HPCA 2015

Conference

Conference21st IEEE International Symposium on High Performance Computer Architecture, HPCA 2015
Country/TerritoryUnited States
CityBurlingame
Period2/7/152/11/15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

Fingerprint

Dive into the research topics of 'Exploring architectural heterogeneity in intelligent vision systems'. Together they form a unique fingerprint.

Cite this