Xinheng Liu

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High level synthesis (HLS) is gaining wider acceptance for hardware design due to its higher productivity and better design space exploration features. In recent years, HLS techniques and design flows have also advanced significantly, and as a result, many new FPGA designs are developed with HLS. However, despite many studies using HLS, the size and(More)
FPGA is a promising candidate for the acceleration of Deep Neural Networks (DNN) with improved latency and energy consumption compared to CPU and GPU-based implementations. DNNs use sequences of layers of regular computation that are well suited for HLS-based design for FPGA. However, optimizing large neural networks under resource constraints is still a(More)
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