4 citations · 4 across the 2 of their papers we have counts for
4 papers
Accelerating Backward Aggregation in GCN Training with Execution Path Preparing on GPUs
Shaoxian Xu, Zhiyuan Shao, Ci Yang +2
The emerging Graph Convolutional Network (GCN) has now been widely used in many domains, and it is challenging to improve the efficiencies of applications by accelerating the GCN t…
Cross-Language Binary-Source Code Matching with Intermediate Representations
Yi Gui, Yao Wan, Hongyu Zhang +5
Binary-source code matching plays an important role in many security and software engineering related tasks such as malware detection, reverse engineering and vulnerability assessm…
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…
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…