128 citations · 230 across the 7 of their papers we have counts for
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cs.AR2021★ 4 cited
MPU: Towards Bandwidth-abundant SIMT Processor via Near-bank Computing
Xinfeng Xie, Peng Gu, Yufei Ding +3
With the growing number of data-intensive workloads, GPU, which is the state-of-the-art single-instruction-multiple-thread (SIMT) processor, is hindered by the memory bandwidth wal…
cs.AR2020★ 9 cited
Rubik: A Hierarchical Architecture for Efficient Graph Learning
Xiaobing Chen, Yuke Wang, Xinfeng Xie +9
Graph convolutional network (GCN) emerges as a promising direction to learn the inductive representation in graph data commonly used in widespread applications, such as E-commerce,…
cs.AR2020★ 4 cited
SEALing Neural Network Models in Secure Deep Learning Accelerators
Pengfei Zuo, Yu Hua, Ling Liang +3
Deep learning (DL) accelerators are increasingly deployed on edge devices to support fast local inferences. However, they suffer from a new security problem, i.e., being vulnerable…