(UW-Madison ECE757 Guest Lecture)
Present the current unary computing stack.
(ISCA'20)
Present an ultra-low power unary computing architecture for GEMM, which is compatible for both temporal and rate coding.
(UW-Madison ECE757 Guest Lecture)
Present the basic concept of unary computing, as well as its mechanism and application.
(UW-Madison Computer Architecture Affiliate Meeting)
Present uGEMM architecture, a high performance uanry computing architecture to unify the computation for both rate- and temporal-coded bit streams.
(DAC'19)
Present division and square root design in stochastic computing, which achieve high accuracy and efficiency by leveraging stochastic correlation among bit streams.
(UW-Madison ECE752 Guest Lecture)
Introduce deep learning and stochastic computing, as well as the latest research overlapping both.
(UW-Madison Computer Architecture Affiliate Meeting)
Present design of nonlinear functions for stochastic computing, which can be used in Capsule Neural Network.