firstnamelastname
@cs.ucla.edu

701 W Main St Ste 400,
Durham, NC 27701

About

Linghao Song is a postdoctoral researcher in UCLA Computer Science Department. He graduated from Duke University in Summer 2020 with a Ph.D. degree in Computer Engineering. His research interests include machine learning accelerator architectures and deep learning applications. He received M.S. in Electrical Engineering from University of Pittsburgh in 2017 and B.S.E. in Information Engineering from Shanghai Jiao Tong University in 2014. He attended Chengdu No.7 High School.

 

Education


08/2017 – 08/2020: Ph.D. in Electrical and Computer Engineering, Duke University, Durham NC.

08/2014 – 04/2017: M.S. in Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh PA.

09/2010 – 06/2014: B.S.E. in Information Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China.

 

Professional Services


Program Committee

  • Design Automation Conference (DAC): 2020(ERC), 2021(TPC).
  • European Conference on Computer Systems (EuroSys): 2020(SPC).
  • International Conference on Neuromorphic Systems (ICONS): 2018.

Artifact Evaluation Committee

  • International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS): 2020.
  • International Conference on Languages Compilers, Tools and Theory of Embedded Systems (LCTES): 2019.

Journal Reviewer

  • ACM Journal on Emerging Technologies in Computing Systems (JETC).
  • Elsevier Neurocomputing.
  • IEEE Computer Architecture Letters (CAL).
  • IEEE Embedded Systems Letters (ESL).
  • IEEE Micro.
  • IEEE Transactions on Circuits and Systems II (TCAS-II)
  • IEEE Transactions on Computers (TC).
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
  • IEEE Transactions on Industrial Electronics (TIE).
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
  • IEEE Transactions on Parallel and Distributed Systems (TPDS).
  • IEEE Transactions on Very Large Scale Integration Systems (TVLSI).

 

Awards & Honors


ASP-DAC Best Paper Nomination, 2018.

ASP-DAC Best Paper Award, 2017.

John A. Jurenko Graduate Fellowship, 2015.

Excellent Graduate of Shanghai, 2014.

National Scholarship of China, 2012.

SJTU Academic Excellence Scholarship, 2011, 2012, 2013.

 

Publications


[ISCA’20] GaaS-X: Graph Analytics Accelerator Supporting Sparse Data Representation using Crossbar Architectures,
Nagadastagiri Reddy Challapalle, Sahithi Rampalli, Linghao Song, Nandhini Chandramoorthy, Karthik Swaminathan, Jack Sampson, Yiran Chen, Vijaykrishnan Narayanan, 
47th Annual International Symposium on Computer Architecture.

[HPCA’20] AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators, [slides]
Linghao Song, Fan Chen, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen,
26th IEEE International Symposium on High-Performance Computer Architecture.

[HPCA’19] HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array,  [slides]
Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen,
25th IEEE International Symposium on High-Performance Computer Architecture.

[HPCA’18] GraphR: Accelerating Graph Processing Using ReRAM, [slides]
Linghao Song, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen,
24th IEEE International Symposium on High-Performance Computer Architecture.

[HPCA’17] PipeLayer: A ReRAM-Based Accelerator for Deep Learning, [slides]
Linghao Song, Xuehai Qian, Hai Li, Yiran Chen, 
23rd IEEE International Symposium on High-Performance Computer Architecture.

[DAC’20] SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training,
Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen and Weisheng Zhao,
57th Annual Design Automation Conference.

[DAC’19] ZARA: A Novel Zero-free Dataflow Accelerator for Generative Adversarial Networks in 3D ReRAM,
Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen,
2019 56th Annual Design Automation Conference.

[DAC’18] AtomLayer: A Universal ReRAM-Based CNN Accelerator with Atomic Layer Computation,
Ximing Qiao, Xiong Cao, Huanrui Yang, Linghao Song, Hai Li,
2018 55th Annual Design Automation Conference.

[DAC’16] NVSim-VXs: An Improved NVSim for Variation Aware STT-RAM Simulation,
Enes Eken, Linghao Song, Ismail Bayram, Cong Xu, Wujie Wen, Yuan Xie, Yiran Chen,
2016 53rd Annual Design Automation Conference.

[ICCAD’17] MeDNN: A Distributed Mobile System with Enhanced Partition and Deployment for Large-Scale DNNs,
Jiachen Mao, Zhongda Yang, Wei Wen, Chunpeng Wu, Linghao Song, Kent W. Nixon, Xiang Chen, Hai Li, Yiran Chen,
2017 IEEE/ACM International Conference on Computer-Aided Design.

[ICASSP’19] Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data,
Linghao Song, Fan Chen, Steven Young, Catherine Schuman, Gabriel Perdue, Thomas Potok,
2019 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[DATE’20] ReBoc: Accelerating Block-Circulant Neural Networks in ReRAM,
Yitu Wang, Fan Chen, Linghao Song, C. -J. Richard Shi, Hai (Helen) Li, Yiran Chen,
2020 Design, Automation & Test in Europe Conference & Exhibition.

[DATE’18] ReCom: An Efficient Resistive Accelerator for Compressed Deep Neural Networks,
Houxiang Ji, Linghao Song, Li Jiang, Hai Halen Li, Yiran Chen,
2018 Design, Automation & Test in Europe Conference & Exhibition.

[ASP-DAC’20] Parallelism in Deep Learning Accelerators, (Invited)
Linghao Song, Fan Chen, Hai Li, Yiran Chen,
25th Asia and South Pacific Design Automation Conference.

[ASP-DAC’20] PARC: A Processing-in-CAM Architecture for Genomic Long Read Pairwise Alignment using ReRAM,
Fan Chen, Linghao Song, Hai Li, Yiran Chen,
25th Asia and South Pacific Design Automation Conference.

[ASP-DAC’18] ReGAN: A Pipelined ReRAM-Based Accelerator for Generative Adversarial Networks,
Fan Chen, Linghao Song, Yiran Chen,
2018 23rd Asia and South Pacific Design Automation Conference.

[ASP-DAC’17] Classification Accuracy Improvement for Neuromorphic Computing Systems with One-Level Precision Synapses,
Yandan Wang, Wei Wen, Linghao Song, Hai Helen Li,
2017 22nd Asia and South Pacific Design Automation Conference.

[CCF THPC] ReBNN: in-Situ Acceleration of Binarized Neural Networks in ReRAM Using Complementary Resistive Cell,
Linghao Song, You Wu, Xuehai Qian, Hai Li, Yiran Chen,
CCF Transactions on High Performance Computing, 1, 2019.

[SafeAI@AAAI’19] DPATCH: An Adversarial Patch Attack on Object Detectors, [slides, code],
Xin Liu, Huanrui Yang, Ziwei Liu, Linghao Song, Yiran Chen, Hai Li,
Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019.