Study and Integration of a Parametric Neighbouring Interconnection Network in a Massively Parallel Architecture on FPGA

Single Instruction Multiple Data processors are increasingly used in embedded systems for multimedia applications because of their area and energy-efficiency. Neighboring communications between the processing elements are a key issue in SIMD processors. They are present in most data parallel applications. However, the lack of flexibility in major parallel architectures is its main shortcoming. In order to improve the performances of a massively parallel architecture, especially in term of neighboring communication we need a flexible and parametric communication network. This paper focuses on the problems with the design of a parametric nearest neighborhood interconnection network in a SIMD architecture in System on Chip (SoC). This network can be configured in multiple topologies making it flexible and parametric in order to suit different application needs. The proposed architecture is evaluated in terms of area (cost) and performance (execution time), which are deduced respectively from synthesis and simulation results. Experiments are performed on different architectures with various topologies. In order to evaluate the performance of the proposed architecture, a FIR application is finally implemented.