Achieving High Performance with FPGA-Based Computing

  • Authors:
  • Martin C. Herbordt;Tom VanCourt;Yongfeng Gu;Bharat Sukhwani;Al Conti;Josh Model;Doug DiSabello

  • Affiliations:
  • Boston University;Boston University;Boston University;Boston University;Boston University;Boston University;Boston University

  • Venue:
  • Computer
  • Year:
  • 2007

Quantified Score

Hi-index 4.10

Visualization

Abstract

Numerous application areas, including bioinformatics and computational biology, demand increasing amounts of processing capability. In many cases, the computation cores and data types are suited to field-programmable gate arrays. The challenge is identifying the design techniques that can extract high performance potential from the FPGA fabric.