42 citations · 55 across the 4 of their papers we have counts for
4 papers
STAR: An Efficient Softmax Engine for Attention Model with RRAM Crossbar
Yifeng Zhai, Bing Li, Bonan Yan +1
RRAM crossbars have been studied to construct in-memory accelerators for neural network applications due to their in-situ computing capability. However, prior RRAM-based accelerato…
DDC-PIM: Efficient Algorithm/Architecture Co-design for Doubling Data Capacity of SRAM-based Processing-In-Memory
Cenlin Duan, Jianlei Yang, Xiaolin He +9
Processing-in-memory (PIM), as a novel computing paradigm, provides significant performance benefits from the aspect of effective data movement reduction. SRAM-based PIM has been d…
Probabilistic Compute-in-Memory Design For Efficient Markov Chain Monte Carlo Sampling
Yihan Fu, Daijing Shi, Anjunyi Fan +4
Markov chain Monte Carlo (MCMC) is a widely used sampling method in modern artificial intelligence and probabilistic computing systems. It involves repetitive random number generat…
An Overview of In-memory Processing with Emerging Non-volatile Memory for Data-intensive Applications
Bing Li, Bonan Yan, Hai +1
The conventional von Neumann architecture has been revealed as a major performance and energy bottleneck for rising data-intensive applications. %, due to the intensive data moveme…