4 papers
PIMSYN: Synthesizing Processing-in-memory CNN Accelerators
Wanqian Li, Xiaotian Sun, Xinyu Wang +3
Processing-in-memory architectures have been regarded as a promising solution for CNN acceleration. Existing PIM accelerator designs rely heavily on the experience of experts and r…
PIMSIM-NN: An ISA-based Simulation Framework for Processing-in-Memory Accelerators
Xinyu Wang, Xiaotian Sun, Yinhe Han +1
Processing-in-memory (PIM) has shown extraordinary potential in accelerating neural networks. To evaluate the performance of PIM accelerators, we present an ISA-based simulation fr…
On Time Uniform Wong-Zakai Approximation Theorems
Pierre Del Moral, Shulan Hu, Ajay Jasra +2
We consider the long time behavior of Wong-Zakai approximations of stochastic differential equations. These piecewise smooth diffusion approximations are of great importance in man…
Maximum Entropy Estimator for Hidden Markov Models: Reduction to Dimension 2
Shulan Hu, Xinyu Wang, Liming Wu
In the paper, we introduce the maximum entropy estimator based on 2-dimensional empirical distribution of the observation sequence of hidden Markov model , when the sample size is…