DocumentCode :
2520640
Title :
Compiling and optimizing image processing algorithms for FPGAs
Author :
Draper, Bruce ; Najjar, Walid ; Böhm, Wim ; Hammes, Jeff ; Rinker, Bob ; Ross, Charlie ; Chawathe, Monica ; Bins, José
Author_Institution :
Dept. of Comput. Sci., Colorado State Univ., Fort Collins, CO, USA
fYear :
2000
fDate :
2000
Firstpage :
222
Lastpage :
231
Abstract :
This paper presents a high-level language for expressing image processing algorithms, and an optimizing compiler that targets FPGAs. The language is called SA-C, and this paper focuses on the language features that 1) support image processing, and 2) enable efficient compilation to FPGAs. It then describes the compilation process, in which SA-C algorithms are translated into non-recursive data flow graphs, which in turn are translated into VHDL. Finally, it presents performance numbers for some well-known image processing routines, written in SAC and automatically compiled to an Annapolis Microsystems WildForce board with Xilinx 4036XL FPGAs
Keywords :
data flow graphs; field programmable gate arrays; hardware description languages; image processing; optimising compilers; Annapolis Microsystems WildForce board; FPGAs; SA-C; SA-C algorithms; VHDL; Xilinx 4036XL FPGAs; data flow graphs; high-level language; image processing algorithms; image processing routines; language features; optimizing compiler; performance numbers; Acceleration; Circuit synthesis; Coprocessors; Field programmable gate arrays; Flow graphs; High level languages; Image processing; Optimizing compilers; Programmable logic arrays; Programming profession;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Architectures for Machine Perception, 2000. Proceedings. Fifth IEEE International Workshop on
Conference_Location :
Padova
Print_ISBN :
0-7695-0740-9
Type :
conf
DOI :
10.1109/CAMP.2000.875981
Filename :
875981
Link To Document :
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