Q
Qiaosha Zou
Researcher at Fudan University
Publications - 4
Citations - 14
Qiaosha Zou is an academic researcher from Fudan University. The author has contributed to research in topics: Deep learning & Computer science. The author has an hindex of 1, co-authored 2 publications receiving 4 citations.
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Journal ArticleDOI
A Communication-Aware DNN Accelerator on ImageNet Using In-Memory Entry-Counting Based Algorithm-Circuit-Architecture Co-Design in 65-nm CMOS
Haozhe Zhu,Chixiao Chen,Shiwei Liu,Qiaosha Zou,Mingyu Wang,Lihua Zhang,Xiaoyang Zeng,C.-J. Richard Shi +7 more
TL;DR: This article presents a communication-aware processing-in-memory deep neural network accelerator, which implements an in-memory entry-counting scheme for low bit-width quantized multiplication-and-accumulations (MACs) to maintain good accuracy on ImageNet.
Proceedings ArticleDOI
Systolic-Array Deep-Learning Acceleration Exploring Pattern-Indexed Coordinate-Assisted Sparsity for Real-Time On-Device Speech Processing
TL;DR: In this paper, a hardware-software co-design for efficient sparse deep neural networks (DNNs) implementation in a regular systolic array for real-time on-device speech processing is presented.
Journal ArticleDOI
AutoMap: Automatic Mapping of Neural Networks to Deep Learning Accelerators for Edge Devices
TL;DR: Li et al. as discussed by the authors proposed an automatic DNN mapping framework named AutoMap given the hardware backend information, which realizes unified expression for both spatial and temporal network inter-layer connections, and an associated partitioner is implemented for splitting an Extended Directed Weighted Graph into subEDWGs, which incorporates the on-chip memory constraint and facilitates weight data reuse on chip.