FPGA-based transformable computers for fast digital signal processing
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FPGA-based computing systems provide a feasible and cost-effective platform for implementing fast parallel arithmetic circuits for digital signal and image processing. This paper reports the results obtained from embedding a highly parallel convolution algorithm on an FPGA-based 'transformable' computer. Such a computer is intended to serve as a transformable co-processor for a standard microprocessor system. However, the transformable co-processor is reconfigurable and is capable of exploiting the concurrency of computations more than the 'sequential' microprocessor. Our experiments show that a significant gain in speed can be achieved by using the transformable co-processor. We present an example of performing a sequence of (independent) 16-point convolutions on 8-bit data, and show that the speed factor improves significantly as the number of convolutions to be performed increases.
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Proceedings IEEE Symposium on FPGAs for Custom Computing Machines