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Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques (1999)
Newport Beach, California
Oct. 12, 1999 to Oct. 16, 1999
ISSN: 1089-795X
ISBN: 0-7695-0425-6
pp: 236
Wim Bohm , Colorado State University
Jeff Hammes , Colorado State University
Walid Najjar , Colorado State University
Ross Beveridge , Colorado State University
Bruce Draper , Colorado State University
Bob Rinker , Colorado State University
This paper presents the Cameron Project, which aims to provide a high level, algorithmic language and optimizing compiler for the development of image processing applications on Reconfigurable Computing Systems (RCSs). SA-C, a single assignment variant of the C programming language, is designed to exploit both coarse-grain and fine-grain parallelism in image processing applications. Khoros, a software development environment commonly used for image processing, has been modified to support SA-C program development.SA-C supports image processing with true multidimensional arrays, and with sophisticated array access and windowing mechanisms. Reduction operators such as medians and histograms are also provided. The optimizing compiler targets RCSs, which are fine-grained parallel processors made up of Field Programmable Gate Arrays (FPGAs), memories and interconnection hardware. They can be used as inexpensive co-processors with conventional workstations or PCs. This paper discusses compiler optimizations to generate optimal FPGA code using dataflow analysis techniques applied to data dependence graphs. Initial results are presented.
Wim Bohm, Jeff Hammes, Walid Najjar, Ross Beveridge, Bruce Draper, Bob Rinker, "Cameron: High Level Language Compilation for Reconfigurable Systems", Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques, vol. 00, no. , pp. 236, 1999, doi:10.1109/PACT.1999.807557
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