Παρακολούθηση
Jie-Fang Zhang
Jie-Fang Zhang
Nvidia Corporation, University of Michigan
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα umich.edu
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
SNAP: An Efficient Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference
JF Zhang, CE Lee, C Liu, YS Shao, SW Keckler, Z Zhang
IEEE Journal of Solid-State Circuits, 2020
762020
SNAP: A 1.67—21.55 TOPS/W sparse neural acceleration processor for unstructured sparse deep neural network inference in 16nm CMOS
JF Zhang, CE Lee, C Liu, YS Shao, SW Keckler, Z Zhang
2019 Symposium on VLSI Circuits, C306-C307, 2019
582019
Stitch-x: An accelerator architecture for exploiting unstructured sparsity in deep neural networks
CE Lee, YS Shao, JF Zhang, A Parashar, J Emer, SW Keckler, Z Zhang
SysML Conference 120, 2018
362018
Point-x: A spatial-locality-aware architecture for energy-efficient graph-based point-cloud deep learning
JF Zhang, Z Zhang
MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021
282021
Structural scrambling of circulant matrices for cost-effective compressive sensing
YM Lin, JF Zhang, J Geng, AY Wu
Journal of Signal Processing Systems 90, 695-707, 2018
42018
Machine Learning Hardware Design for Efficiency, Flexibility, and Scalability [Feature]
JF Zhang, Z Zhengya
IEEE Circuits and Systems Magazine 23 (3), 35 - 53, 2023
32023
Exploration of energy-efficient architecture for graph-based point-cloud deep learning
JF Zhang, Z Zhang
2021 IEEE Workshop on Signal Processing Systems (SiPS), 260-264, 2021
32021
TetriX: Flexible Architecture and Optimal Mapping for Tensorized Neural Network Processing
JF Zhang, CH Lu, Z Zhang
IEEE Transactions on Computers, 2024
12024
Measurement matrix generating system based on scrambling and method thereof
YM Lin, G Jing, J Zhang, AY Wu
US Patent 10,049,083, 2018
12018
Low memory-cost scramble methods for constructing deterministic CS matrix
JF Zhang, J Geng, YM Lin, AYA Wu
2015 IEEE Workshop on Signal Processing Systems (SiPS), 1-6, 2015
12015
Efficient Deep Learning Accelerator Architectures by Model Compression and Data Orchestration
JF Zhang
2022
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