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ORCIDLinghao Song
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2020 – today
- 2024
[c34]Neha Prakriya
, Yuze Chi, Suhail Basalama, Linghao Song, Jason Cong:
TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs. ASPLOS (3) 2024: 966-980- [c33]Zifan He, Linghao Song, Robert F. Lucas, Jason Cong:
LevelST: Stream-based Accelerator for Sparse Triangular Solver. FPGA 2024: 67-77 - [c32]Yitu Wang, Shiyu Li, Qilin Zheng, Linghao Song, Zongwang Li, Andrew Chang, Hai Li, Yiran Chen:
NDSEARCH: Accelerating Graph-Traversal-Based Approximate Nearest Neighbor Search through Near Data Processing. ISCA 2024: 368-381 - 2023
- [j4]Licheng Guo, Pongstorn Maidee, Yun Zhou, Chris Lavin, Eddie Hung, Wuxi Li, Jason Lau, Weikang Qiao, Yuze Chi, Linghao Song, Yuanlong Xiao, Alireza Kaviani, Zhiru Zhang, Jason Cong:
RapidStream 2.0: Automated Parallel Implementation of Latency-Insensitive FPGA Designs Through Partial Reconfiguration. ACM Trans. Reconfigurable Technol. Syst. 16(4): 59:1-59:30 (2023) - [j3]Licheng Guo, Yuze Chi, Jason Lau, Linghao Song, Xingyu Tian, Moazin Khatti, Weikang Qiao, Jie Wang, Ecenur Ustun, Zhenman Fang, Zhiru Zhang, Jason Cong:
TAPA: A Scalable Task-parallel Dataflow Programming Framework for Modern FPGAs with Co-optimization of HLS and Physical Design. ACM Trans. Reconfigurable Technol. Syst. 16(4): 63:1-63:31 (2023) - [c31]Linghao Song, Licheng Guo, Suhail Basalama, Yuze Chi, Robert F. Lucas, Jason Cong:
Callipepla: Stream Centric Instruction Set and Mixed Precision for Accelerating Conjugate Gradient Solver. FPGA 2023: 247-258 - [c30]Linghao Song, Fan Chen, Hai Li, Yiran Chen:
ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers. SC 2023: 75:1-75:15 - [i14]Neha Prakriya, Yuze Chi, Suhail Basalama, Linghao Song, Jason Cong:
TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs. CoRR abs/2311.10189 (2023) - [i13]Yitu Wang, Shiyu Li, Qilin Zheng, Linghao Song, Zongwang Li, Andrew Chang, Hai (Helen) Li, Yiran Chen:
In-Storage Acceleration of Graph-Traversal-Based Approximate Nearest Neighbor Search. CoRR abs/2312.03141 (2023) - 2022
- [c29]Linghao Song, Yuze Chi, Licheng Guo, Jason Cong:
Serpens: a high bandwidth memory based accelerator for general-purpose sparse matrix-vector multiplication. DAC 2022: 211-216 - [c28]Linghao Song, Yuze Chi, Atefeh Sohrabizadeh, Young-kyu Choi, Jason Lau, Jason Cong:
Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication. FPGA 2022: 65-77 - [c27]Linghao Song, Yuze Chi, Jason Cong:
PYXIS: An Open-Source Performance Dataset Of Sparse Accelerators. ICASSP 2022: 76-80 - [i12]Licheng Guo, Yuze Chi, Jason Lau, Linghao Song, Xingyu Tian, Moazin Khatti, Weikang Qiao, Jie Wang, Ecenur Ustun, Zhenman Fang, Zhiru Zhang, Jason Cong:
TAPA: A Scalable Task-Parallel Dataflow Programming Framework for Modern FPGAs with Co-Optimization of HLS and Physical Design. CoRR abs/2209.02663 (2022) - [i11]Linghao Song, Licheng Guo, Suhail Basalama, Yuze Chi, Robert F. Lucas, Jason Cong:
Callipepla: Stream Centric Instruction Set and Mixed Precision for Accelerating Conjugate Gradient Solver. CoRR abs/2209.14350 (2022) - 2021
- [j2]Chengning Wang, Dan Feng, Wei Tong, Yu Hua, Jingning Liu, Bing Wu, Wei Zhao, Linghao Song, Yang Zhang, Jie Xu, Xueliang Wei, Yiran Chen:
Improving Multilevel Writes on Vertical 3-D Cross-Point Resistive Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(4): 762-775 (2021) - [c26]Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen:
RAISE: A Resistive Accelerator for Subject-Independent EEG Signal Classification. DATE 2021: 340-343 - [c25]Fan Chen, Linghao Song, Hai Li, Yiran Chen:
Marvel: A Vertical Resistive Accelerator for Low-Power Deep Learning Inference in Monolithic 3D. DATE 2021: 1240-1245 - [i10]Linghao Song, Yuze Chi, Atefeh Sohrabizadeh, Young-kyu Choi, Jason Lau, Jason Cong:
Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication. CoRR abs/2109.11081 (2021) - [i9]Linghao Song, Yuze Chi, Jason Cong:
Pyxis: An Open-Source Performance Dataset of Sparse Accelerators. CoRR abs/2110.04280 (2021) - [i8]Linghao Song, Yuze Chi, Licheng Guo, Jason Cong:
Serpens: A High Bandwidth Memory Based Accelerator for General-Purpose Sparse Matrix-Vector Multiplication. CoRR abs/2111.12555 (2021) - 2020
- [b1]Linghao Song:
Accelerator Architectures for Deep Learning and Graph Processing. Duke University, Durham, NC, USA, 2020 - [c24]Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen:
PARC: A Processing-in-CAM Architecture for Genomic Long Read Pairwise Alignment using ReRAM. ASP-DAC 2020: 175-180 - [c23]Linghao Song, Fan Chen, Yiran Chen, Hai Helen Li:
Parallelism in Deep Learning Accelerators. ASP-DAC 2020: 645-650 - [c22]Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen, Weisheng Zhao:
SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training. DAC 2020: 1-6 - [c21]Yitu Wang, Fan Chen, Linghao Song, Chuanjin Richard Shi, Hai Helen Li, Yiran Chen:
ReBoc: Accelerating Block-Circulant Neural Networks in ReRAM. DATE 2020: 1472-1477 - [c20]Linghao Song, Fan Chen, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen:
AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators. HPCA 2020: 342-355 - [c19]Nagadastagiri Challapalle, Sahithi Rampalli, Linghao Song, Nandhini Chandramoorthy, Karthik Swaminathan, John Sampson, Yiran Chen, Vijaykrishnan Narayanan:
GaaS-X: Graph Analytics Accelerator Supporting Sparse Data Representation using Crossbar Architectures. ISCA 2020: 433-445 - [i7]Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen, Weisheng Zhao:
SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training. CoRR abs/2007.13595 (2020) - [i6]Linghao Song, Fan Chen, Xuehai Qian, Hai Li, Yiran Chen:
Low-Cost Floating-Point Processing in ReRAM for Scientific Computing. CoRR abs/2011.03190 (2020)
2010 – 2019
- 2019
- [j1]Linghao Song, You Wu, Xuehai Qian, Hai Li, Yiran Chen:
ReBNN: in-situ acceleration of binarized neural networks in ReRAM using complementary resistive cell. CCF Trans. High Perform. Comput. 1(3-4): 196-208 (2019) - [c18]Xin Liu, Huanrui Yang, Ziwei Liu, Linghao Song, Yiran Chen, Hai Li:
DPATCH: An Adversarial Patch Attack on Object Detectors. SafeAI@AAAI 2019 - [c17]Paul Bogdan, Fan Chen, Aryan Deshwal, Janardhan Rao Doppa, Biresh Kumar Joardar, Hai (Helen) Li, Shahin Nazarian, Linghao Song, Yao Xiao:
Taming extreme heterogeneity via machine learning based design of autonomous manycore systems. CODES+ISSS 2019: 21:1-21:10 - [c16]Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen:
ZARA: A Novel Zero-free Dataflow Accelerator for Generative Adversarial Networks in 3D ReRAM. DAC 2019: 133 - [c15]Fan Chen, Linghao Song, Hai (Helen) Li:
Efficient Process-in-Memory Architecture Design for Unsupervised GAN-based Deep Learning using ReRAM. ACM Great Lakes Symposium on VLSI 2019: 423-428 - [c14]Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen:
HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array. HPCA 2019: 56-68 - [c13]Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok:
Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data. ICASSP 2019: 3882-3886 - [c12]Fan Chen, Wei Wen, Linghao Song, Jingchi Zhang, Hai Helen Li, Yiran Chen:
How to Obtain and Run Light and Efficient Deep Learning Networks. ICCAD 2019: 1-5 - [i5]Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen:
HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array. CoRR abs/1901.02067 (2019) - [i4]Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok:
Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data. CoRR abs/1902.00743 (2019) - 2018
- [c11]Fan Chen, Linghao Song, Yiran Chen:
ReGAN: A pipelined ReRAM-based accelerator for generative adversarial networks. ASP-DAC 2018: 178-183 - [c10]Ximing Qiao, Xiong Cao, Huanrui Yang, Linghao Song, Hai Li:
Atomlayer: a universal reRAM-based CNN accelerator with atomic layer computation. DAC 2018: 103:1-103:6 - [c9]Houxiang Ji, Linghao Song, Li Jiang, Hai Helen Li, Yiran Chen:
ReCom: An efficient resistive accelerator for compressed deep neural networks. DATE 2018: 237-240 - [c8]Bing Li, Linghao Song, Fan Chen, Xuehai Qian, Yiran Chen, Hai Helen Li:
ReRAM-based accelerator for deep learning. DATE 2018: 815-820 - [c7]Linghao Song, Youwei Zhuo, Xuehai Qian, Hai Helen Li, Yiran Chen:
GraphR: Accelerating Graph Processing Using ReRAM. HPCA 2018: 531-543 - [i3]Xin Liu, Huanrui Yang, Linghao Song, Hai Li, Yiran Chen:
DPatch: Attacking Object Detectors with Adversarial Patches. CoRR abs/1806.02299 (2018) - 2017
- [c6]Yandan Wang, Wei Wen, Linghao Song, Hai Helen Li:
Classification accuracy improvement for neuromorphic computing systems with one-level precision synapses. ASP-DAC 2017: 776-781 - [c5]Linghao Song, Xuehai Qian, Hai Li, Yiran Chen:
PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning. HPCA 2017: 541-552 - [c4]Jiachen Mao, Zhongda Yang, Wei Wen, Chunpeng Wu, Linghao Song, Kent W. Nixon, Xiang Chen, Hai Li, Yiran Chen:
MeDNN: A distributed mobile system with enhanced partition and deployment for large-scale DNNs. ICCAD 2017: 751-756 - [i2]Yandan Wang, Wei Wen, Linghao Song, Hai (Helen) Li:
Classification Accuracy Improvement for Neuromorphic Computing Systems with One-level Precision Synapses. CoRR abs/1701.01791 (2017) - [i1]Linghao Song, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen:
GraphR: Accelerating Graph Processing Using ReRAM. CoRR abs/1708.06248 (2017) - 2016
- [c3]Enes Eken, Linghao Song, Ismail Bayram, Cong Xu, Wujie Wen, Yuan Xie, Yiran Chen:
NVSim-VXs: an improved NVSim for variation aware STT-RAM simulation. DAC 2016: 70:1-70:6 - 2015
- [c2]Hai (Helen) Li, Chenchen Liu, Bonan Yan, Chaofei Yang, Linghao Song, Zheng Li, Yiran Chen, Weijie Zhu, Qing Wu, Hao Jiang:
Spiking-based matrix computation by leveraging memristor crossbar array. CISDA 2015: 1-4 - [c1]Chenchen Liu, Bonan Yan, Chaofei Yang, Linghao Song, Zheng Li, Beiye Liu, Yiran Chen, Hai Li, Qing Wu, Hao Jiang:
A spiking neuromorphic design with resistive crossbar. DAC 2015: 14:1-14:6
Coauthor Index
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