Abstract: We propose a co-design approach for compute-in-memory inference for deep neural networks (DNN). We use multiplication-free function approximators based on l 1 norm along with a co-adapted ...
Abstract: This paper presents a lookup-table sharing scheme for implementing Boolean functions on Xilinx FPGAs. The scheme aims to exploit each LUT6 primitive on FPGAs as two Boolean functions sharing ...
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