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Bing Li
Researcher at Capital Normal University
Publications - 40
Citations - 309
Bing Li is an academic researcher from Capital Normal University. The author has contributed to research in topics: Computer science & Artificial neural network. The author has an hindex of 7, co-authored 30 publications receiving 152 citations. Previous affiliations of Bing Li include Duke University & Research Triangle Park.
Papers
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Journal ArticleDOI
Resistive Memory‐Based In‐Memory Computing: From Device and Large‐Scale Integration System Perspectives
TL;DR: The circuit design and system organization of RRAM‐based in‐memory computing are essential to breaking the von Neumann bottleneck and illuminate the way for the large‐scale implementation of ultra‐low‐power and dense neural network accelerators.
Proceedings ArticleDOI
ReRAM-based accelerator for deep learning
TL;DR: This research employs the general principles behind processing-in-memory to design efficient ReRAM based accelerators that support both testing and training operations and leverages resistive memory to further enhance the performance and energy efficiency.
Proceedings ArticleDOI
An Overview of In-memory Processing with Emerging Non-volatile Memory for Data-intensive Applications
Bing Li,Bonan Yan,Hai Li +2 more
TL;DR: This paper summarizes the recent research progress in eNVM-based in-memory processing from various aspects, including the adopted memory technologies, locations of the in- memory processing in the system, supported arithmetics, as well as applied applications.
Proceedings ArticleDOI
Partial-SET: write speedup of PCM main memory
TL;DR: Experimental results show that the novel Partial-SET scheme can improve the memory access performance of PCM by more than 45% averagely with very marginal storage overhead.
Proceedings ArticleDOI
Build reliable and efficient neuromorphic design with memristor technology
TL;DR: The impacts of the limited reliability of memristor devices are reviewed and the recent research progress in building reliable and efficient Memristor-based NCS development is summarized.