MO-Pack: Many-objective clustering for FPGA CAD

Senthilkumar Thoravi Rajavel, Ali Akoglu

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

30 Scopus citations

Abstract

Applications targeting FPGA integrated systems impose strict energy, channel width and delay constraints. We introduce the first many-objective clustering, MO-Pack, that targets these performance metrics concurrently. Detailed performance comparisons over state of the art clustering strategies targeting energy (P-T-VPack), delay (T-VPack), channel width (iRAC), and timing and routability (T-RPack) show that MO-Pack achieves its goals without increasing the logic area.

Original languageEnglish (US)
Title of host publication2011 48th ACM/EDAC/IEEE Design Automation Conference, DAC 2011
Pages818-823
Number of pages6
StatePublished - 2011
Event2011 48th ACM/EDAC/IEEE Design Automation Conference, DAC 2011 - San Diego, CA, United States
Duration: Jun 5 2011Jun 9 2011

Publication series

NameProceedings - Design Automation Conference
ISSN (Print)0738-100X

Other

Other2011 48th ACM/EDAC/IEEE Design Automation Conference, DAC 2011
Country/TerritoryUnited States
CitySan Diego, CA
Period6/5/116/9/11

Keywords

  • Field programmable gate arrays [FPGA]
  • clustering
  • computer aided design (CAD)
  • energy optimization
  • performance trade-offs
  • routability

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation

Fingerprint

Dive into the research topics of 'MO-Pack: Many-objective clustering for FPGA CAD'. Together they form a unique fingerprint.

Cite this