Accelerating Scientific Applications with Reconfigurable Computing: Getting Started

  • Authors:
  • Volodymyr V. Kindratenko;Craig P. Steffen;Robert J. Brunner

  • Affiliations:
  • University of Illinois;University of Illinois;University of Illinois

  • Venue:
  • Computing in Science and Engineering
  • Year:
  • 2007

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Abstract

High-performance reconfigurable computing combines the advantages of the coarse-grain parallel processing provided in conventional multiprocessor systems with the fine-grain parallel processing available in field-programmable gate arrays.