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Image processing library for reconfigurable computers (abstract only)

Published: 20 February 2005 Publication History

Abstract

Reconfigurable Computers (RCs) are parallel systems that are designed around multiple general-purpose processors and multiple field programmable gate array (FPGA) chips. These systems can leverage the synergism between conventional processors and FPGAs to provide low-level hardware functionality at the same level of programmability as general-purpose computers. RCs have proposed very high processing capabilities for computationally intensive applications such as Image Processing. This is due to the inherently parallel operation paradigm of the FPGA hardware.In this paper we present the design and implementation of image processing kernels for RCs. This library of kernels have been tested and verified for performance on one of the state-of-the-art reconfigurable computers, SRC-6E. This paper shows that RCs are between 8 to 400 times faster than comparable Pentiums for image based tasks.

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  • (2010)Remote Sensing and High-Performance Reconfigurable Computing SystemsHigh Performance Computing in Remote Sensing10.1201/9781420011616.ch15(359-377)Online publication date: 31-Jan-2010

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cover image ACM Conferences
FPGA '05: Proceedings of the 2005 ACM/SIGDA 13th international symposium on Field-programmable gate arrays
February 2005
288 pages
ISBN:1595930299
DOI:10.1145/1046192
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 20 February 2005

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Overall Acceptance Rate 125 of 627 submissions, 20%

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Cited By

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  • (2010)Remote Sensing and High-Performance Reconfigurable Computing SystemsHigh Performance Computing in Remote Sensing10.1201/9781420011616.ch15(359-377)Online publication date: 31-Jan-2010

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