activity
20182021
most citedA Survey on Graph Processing Accelerators: Challenges and Opportunities

1 citations · 1 across the 1 of their papers we have counts for

collaborators

7 papers

cs.AR2021

ScalaBFS: A Scalable BFS Accelerator on HBM-Enhanced FPGAs

Kexin Li, Chenhao Liu, Zhiyuan Shao +5

High Bandwidth Memory (HBM) provides massive aggregated memory bandwidth by exposing multiple memory channels to the processing units. To achieve high performance, an accelerator b…

cs.DC2020

Optimizing Memory Performance of Xilinx FPGAs under Vitis

Ruoshi Li, Hongjing Huang, Zeke Wang +3

Plenty of research efforts have been devoted to FPGA-based acceleration, due to its low latency and high energy efficiency. However, using the original low-level hardware descripti…

cs.DC2020

A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions

Haikun Liu, Di Chen, Hai Jin +4

Non-Volatile Main Memories (NVMMs) have recently emerged as promising technologies for future memory systems. Generally, NVMMs have many desirable properties such as high density,…

cs.DC20191 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.DC2018

Echo: An Edge-Centric Code Offloading System with Quality of Service Guarantee

Li Lin, Xiaofei Liao

Code offloading is promising to accelerate mobile applications and save energy of mobile devices by shifting some computation to cloud. However, existing code offloading systems su…

cs.AR2018

Supporting Superpages and Lightweight Page Migration in Hybrid Memory Systems

Xiaoyuan Wang

Superpages have long been used to mitigate address translation overhead in big memory systems. However, superpages often preclude lightweight page migration, which is crucial for p…