42 citations · 65 across the 3 of their papers we have counts for
3 papers
cs.ET2019★ 23 cited
RED: A ReRAM-based Deconvolution Accelerator
Zichen Fan, Ziru Li, Bing Li +3
Deconvolution has been widespread in neural networks. For example, it is essential for performing unsupervised learning in generative adversarial networks or constructing fully con…
cs.AR2019★ 42 cited
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…
cs.AR2019
Thread Batching for High-performance Energy-efficient GPU Memory Design
Bing Li, Mengjie Mao, Xiaoxiao Liu +6
Massive multi-threading in GPU imposes tremendous pressure on memory subsystems. Due to rapid growth in thread-level parallelism of GPU and slowly improved peak memory bandwidth, t…