DocumentCode
2454762
Title
Implementing image applications on FPGAs
Author
Draper, Bruce A. ; Beveridge, J. Ross ; Böhm, A. P Willem ; Ross, Charles ; Chawathe, Monica
Author_Institution
Dept. of Comput. Sci., Colorado State Univ., Fort Collins, CO, USA
Volume
3
fYear
2002
fDate
2002
Firstpage
265
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.
Keywords
C language; field programmable gate arrays; image processing; program compilers; C programming language; Cameron project; FPGAs; SA-C; coarse-grained parallelism; compiler; field programmable gate arrays; fine-grained parallelism; image-based applications; single-assignment variant; Circuit synthesis; Circuit testing; Computer vision; Field programmable gate arrays; Hardware design languages; Image processing; Logic circuits; Optimizing compilers; Table lookup; Wires;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-1695-X
Type
conf
DOI
10.1109/ICPR.2002.1047845
Filename
1047845
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