IP Based Configurable SIMD Massively Parallel SoC

Significant advances in the field of configurable computing have enabled parallel processing within a single Field-Programmable Gate Array (FPGA) chip. This paper presents the implementation of a flexible and programmable Single Instruction Multiple Data (SIMD) processing system on FPGA that can be adapted to the application. Its implementation is based on an IP (Intellectual Property) assembling approach making its design fast and easy. A generation tool is also developed to generate the SIMD configuration depending on the application requirements. The proposed parallel processing system on chip is portable, scalable and flexible since it can be customized to match the needs of a data parallel application. Based on FPGA, different SIMD configurations have been evaluated in terms of performance and area trade-offs. The proposed parametric system shows good results executing some signal processing applications such as parallel matrices multiplication, FIR filter and RGB to YIQ image color conversion.