3 papers
cs.CV2023
Rapid-INR: Storage Efficient CPU-free DNN Training Using Implicit Neural Representation
Hanqiu Chen, Hang Yang, Stephen Fitzmeyer +1
Implicit Neural Representation (INR) is an innovative approach for representing complex shapes or objects without explicitly defining their geometry or surface structure. Instead,…
cs.AR2023
DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph Neural Network Inference
Hanqiu Chen, Cong Hao
Dynamic Graph Neural Networks (DGNNs) are becoming increasingly popular due to their effectiveness in analyzing and predicting the evolution of complex interconnected graph-based s…
cs.AR2022
Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and GPU
Hanqiu Chen, Yahya Alhinai, Yihan Jiang +2
Dynamic graph neural network (DGNN) is becoming increasingly popular because of its widespread use in capturing dynamic features in the real world. A variety of dynamic graph neura…