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Implementing image applications on FPGAs

Authors: Bruce A. Draper; J. Ross Beveridge; A. P. Wim Böhm; Charles Ross; Monica Chawathe;

Implementing image applications on FPGAs

Abstract

The Cameron project has developed a language and compiler for mapping image-based applications to field programmable gate arrays (FPGAs). The paper tests this technology on several applications and finds that FPGAs are between 8 and 800 times faster than comparable Pentiums for image based tasks.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Average
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