Dr. Yu Wang, Department of Electronic Engineering, Tsinghua University will give a talk on Neural Networks on Chip Design from the Users’ Perspective.
To apply neural networks to different applications, various customized hardware architectures on CMOS and NVM are proposed in the past a few years to boost the energy efficiency of deep learning inference processing. After their groups past effort on Deep learning Processing Unit (DPU) design on FPGA in Tsinghua and Deephi, they started thinking about more features needed from the users’ perspective, i.e. interrupt and virtualization, reliability and security. In his talk Dr. Wang will propose some preliminary solutions for these features.
Dr. Yu Wang received PhD (with honor) in 2007 from Tsinghua University, Beijing, China. He is currently a Tenured Professor with the Department of Electronic Engineering, Tsinghua University. His research interests include application-specific hardware computing, parallel circuit analysis, and power/reliability aware system design methodology. Dr. Wang has authored and co-authored over 200 papers in refereed journals and conferences. He has received Best Paper Award in ASPDAC 2019, FPGA 2017, NVMSA17, ISVLSI 2012, and Best Poster Award in HEART 2012 with 10 Best Paper Nominations. He is a recipient of DAC Under-40 Innovator Award in 2018 and IBM X10 Faculty Award in 2010. He is the co-founder of Deephi Tech (acquired by Xilinx), which is a leading deep learning computing platform provider.