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Weng-Fai works in the systems area with particular interest in the interface between the hardware and software stacks, and how they can be mutually co-optimized. He has worked on optimizing software and applications for novel hardware including FPGAs, GPUs, non-volatile memory, and specialized bus interfaces. These days, his focus is on approximate computing, including precision analysis, variable precision arithmetic, and approximation of deep learning networks using approximate hardware accelerators.
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Tao Luo,Weng-Fai Wong,Rick Siow Mong Goh,Anh Tuan Do, Zhixian Chen,Haizhou Li, Wenyu Jiang,Weiyun Yau
Commun. ACMno. 7 (2023): 52-57
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