5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.ET2025★ 5 cited
Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems
Benjamin Chen Ming Choong, Tao Luo, Cheng Liu +3
Deep neural networks generate and process large volumes of data, posing challenges for low-resource embedded systems. In-memory computing has been demonstrated as an efficient comp…
cs.DC2019★ 1 cited
A Survey on Graph Processing Accelerators: Challenges and Opportunities
Chuangyi Gui, Long Zheng, Bingsheng He +4
Graph is a well known data structure to represent the associated relationships in a variety of applications, e.g., data science and machine learning. Despite a wealth of existing e…
cs.DC2013★ 2 cited
Monetary Cost Optimizations for Hosting Workflow-as-a-Service in IaaS Clouds
Amelie Chi Zhou, Bingsheng He, Cheng Liu
Recently, we have witnessed workflows from science and other data-intensive applications emerging on Infrastructure-asa-Service (IaaS) clouds, and many workflow service providers o…