Enhancing the performance of electromagnetic applications on clustered architectures

Maryam Mehri Dehnavi, Dennis D. Giannacopoulos

Research output: Contribution to journalArticlepeer-review

Abstract

Scalability and low power consumption are major issues in designing custom hardware platforms for accelerating computation intensive electromagnetic applications. Clustered architectures decreases wire delays, power consumption and enhance scalability. We introduce a new steering algorithm that increases the performance of electromagnetic applications on such architectures, making clustering an even more attractive design alternative. The effectiveness of the new method is illustrated for two representative electromagnetic benchmarks.

Original languageEnglish (US)
Article number4787314
Pages (from-to)1340-1343
Number of pages4
JournalIEEE Transactions on Magnetics
Volume45
Issue number3
DOIs
StatePublished - Mar 2009
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Keywords

  • Clustered architectures
  • Computational electromagnetics
  • Hardware acceleration

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