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Linghao Song
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Year
PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning
L Song, X Qian, H Li, Y Chen
2017 IEEE International Symposium on High Performance Computer Architecture …, 2017
9062017
DPATCH: An Adversarial Patch Attack on Object Detectors
X Liu, H Yang, Z Liu, L Song, H Li, Y Chen
SafeAI 2019, AAAI's Workshop on Artificial Intelligence Safety, 2019
3502019
GraphR: Accelerating Graph Processing Using ReRAM
L Song, Y Zhuo, X Qian, H Li, Y Chen
2018 IEEE International Symposium on High Performance Computer Architecture …, 2018
3332018
A Survey of Accelerator Architectures for Deep Neural Networks
Y Chen, Y Xie, L Song, F Chen, T Tang
Engineering 6 (3), 264-274, 2020
3292020
A spiking neuromorphic design with resistive crossbar
C Liu, B Yan, C Yang, L Song, Z Li, B Liu, Y Chen, H Li, Q Wu, H Jiang
Proceedings of the 52nd Annual Design Automation Conference, 1-6, 2015
1552015
HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array
L Song, J Mao, Y Zhuo, X Qian, H Li, Y Chen
2019 IEEE International Symposium on High Performance Computer Architecture …, 2019
1322019
AtomLayer: A Universal ReRAM-Based CNN Accelerator with Atomic Layer Computation
X Qiao, X Cao, H Yang, L Song, H Li
2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC), 103, 2018
1182018
MeDNN: A distributed mobile system with enhanced partition and deployment for large-scale DNNs
J Mao, Z Yang, W Wen, C Wu, L Song, KW Nixon, X Chen, H Li, Y Chen
2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 751-756, 2017
932017
ReGAN: A pipelined ReRAM-based accelerator for generative adversarial networks
F Chen, L Song, Y Chen
2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 178-183, 2018
872018
ReCom: An efficient resistive accelerator for compressed deep neural networks
H Ji, L Song, L Jiang, HH Li, Y Chen
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 237-240, 2018
832018
AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators
L Song, F Chen, Y Zhuo, X Qian, H Li, Y Chen
2020 IEEE International Symposium on High Performance Computer Architecture …, 2020
672020
GaaS-X: Graph Analytics Accelerator Supporting Sparse Data Representation using Crossbar Architectures
N Challapalle, S Rampalli, L Song, N Chandramoorthy, K Swaminathan, ...
2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020
662020
Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication
L Song, Y Chi, A Sohrabizadeh, Y Choi, J Lau, J Cong
Proceedings of the 2022 ACM/SIGDA International Symposium on Field …, 2022
65*2022
Reram-based accelerator for deep learning
B Li, L Song, F Chen, X Qian, Y Chen, HH Li
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 815-820, 2018
422018
Serpens: A High Bandwidth Memory Based Accelerator for General-Purpose Sparse Matrix-Vector Multiplication
L Song, Y Chi, L Guo, J Cong
Proceedings of the 59th ACM/IEEE Design Automation Conference, 211-216, 2022
41*2022
ZARA: A Novel Zero-free Dataflow Accelerator for Generative Adversarial Networks in 3D ReRAM
F Chen, L Song, Y Chen
2019 56th ACM/IEEE Design Automation Conference (DAC), 1-6, 2019
382019
SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training
P Dai, J Yang, X Ye, X Cheng, J Luo, L Song, Y Chen, W Zhao
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
312020
Classification accuracy improvement for neuromorphic computing systems with one-level precision synapses
Y Wang, W Wen, L Song, HH Li
2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 776-781, 2017
272017
PARC: A Processing-in-CAM Architecture for Genomic Long Read Pairwise Alignment Using ReRAM
F Chen, L Song, Y Chen
2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 175-180, 2020
222020
NVSim-VXs an improved NVSim for variation aware STT-RAM simulation
E Eken, L Song, I Bayram, C Xu, W Wen, Y Xie, Y Chen
Proceedings of the 53rd Annual Design Automation Conference, 1-6, 2016
202016
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