Publication | Closed Access
Accelerated image processing on FPGAs
137
Citations
21
References
2003
Year
EngineeringHardware AlgorithmComputer ArchitectureWildstar BoardProcessor ArchitectureHardware ArchitectureHardware SecurityImage AnalysisSingle Assignment CSystems EngineeringComputational ImagingParallel ComputingCompilersImage ProcessingComputer EngineeringComputer ScienceFpga DesignHardware AccelerationProgram AnalysisCameron ProjectParallel Programming
The Cameron project has developed a language called single assignment C (SA-C), and a compiler for mapping image-based applications written in SA-C to field programmable gate arrays (FPGAs). The paper tests this technology by implementing several applications in SA-C and compiling them to an Annapolis Microsystems (AMS) WildStar board with a Xilinx XV2000E FPGA. The performance of these applications on the FPGA is compared to the performance of the same applications written in assembly code or C for an 800 MHz Pentium III. (Although no comparison across processors is perfect, these chips were the first of their respective classes fabricated at 0.18 microns, and are therefore of comparable ages.) We find that applications written in SA-C and compiled to FPGAs are between 8 and 800 times faster than the equivalent program run on the Pentium III.
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