Accelerator

Stochastic Multivariate Universal-Radix Finite-State Machine: a Theoretically and Practically Elegant Nonlinear Function Approximator
Xincheng Feng, Guodong Shen, Jianhao Hu, 李萌, Ngai Wong
DNA: Differentiable Network-Accelerator Co-Search
Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, 李萌, Vikas Chandra, Yingyan Lin
Improving efficiency in neural network accelerator using operands hamming distance optimization
李萌, Yilei Li, Vikas Chandra
Co-exploration of neural architectures and heterogeneous asic accelerator designs targeting multiple tasks
Lei Yang, Zheyu Yan, 李萌, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
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