Abstract:This paper presents an overview of the integration of deep machine learning (DL) in FPGA CAD design flow, focusing on high-level and logic synthesis, placement, and routing. Our analysis identifies key research areas that require more attention in FPGA CAD design, including the development of open-source benchmarks optimized for end-to-end machine learning experiences and the potential of knowledge-sharing among researchers and industry practitioners to incorporate more intelligence in FPGA CAD decision-making… Show more
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