1. Deep Learning for Edge Computing: Current Trends, Cross-Layer Optimizations, and Open Research Challenges
2. B.R. Gaines . 1969. Stochastic computing systems. Advances in Information Systems Science , Springer New York , 37--172. B.R. Gaines. 1969. Stochastic computing systems. Advances in Information Systems Science, Springer New York, 37--172.
3. CeMux: Maximizing the Accuracy of Stochastic Mux Adders and an Application to Filter Design
4. K. Zhong , M. Yang and W. Qian . 2018. Optimizing stochastic computing-based FIR filters . Proc. DSP, 1--5. K. Zhong, M. Yang and W. Qian. 2018. Optimizing stochastic computing-based FIR filters. Proc. DSP, 1--5.
5. Architecture Considerations for Stochastic Computing Accelerators