6 citations · 9 across the 5 of their papers we have counts for
5 papers
Non-Binary LDPC Arithmetic Error Correction For Processing-in-Memory
Daijing Shi, Yihang Zhu, Anjunyi Fan +3
Processing-in-memory (PIM) based on emerging devices such as memristors is more vulnerable to noise than traditional memories, due to the physical non-idealities and complex operat…
Roadmap to Neuromorphic Computing with Emerging Technologies
Adnan Mehonic, Daniele Ielmini, Kaushik Roy +50
The roadmap is organized into several thematic sections, outlining current computing challenges, discussing the neuromorphic computing approach, analyzing mature and currently util…
Fast and reconfigurable sort-in-memory system enabled by memristors
Lianfeng Yu, Yaoyu Tao, Teng Zhang +10
Sorting is fundamental and ubiquitous in modern computing systems. Hardware sorting systems are built based on comparison operations with Von Neumann architecture, but their perfor…
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…
Fast and Scalable Memristive In-Memory Sorting with Column-Skipping Algorithm
Lianfeng Yu, Zhaokun Jing, Yuchao Yang +1
Memristive in-memory sorting has been proposed recently to improve hardware sorting efficiency. Using iterative in-memory min computations, data movements between memory and extern…