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In order to solve today’s challenges of high-complex design for embedded electronic systems, a number of approaches have been tried.
The program of research t will provide platform that provides the necessary software tools to efficiently adapt CUDA (a parallel-computing architecture and API which is driven by the GPU industry, with wide adoption in many diverse fields ranging from molecular dynamics, to computational chemistry, to image or video processing, etc.) into a new FPGA design flow. With HWCUDA, the CUDA kernels of a
CUDA-based application are automatically synthesized and implemented in hardware.
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