Linghao Song

According to our database, Linghao Song authored at least 41 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LevelST: Stream-based Accelerator for Sparse Triangular Solver.

Zifan He, Linghao Song, Robert F. Lucas, Jason Cong

Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

2023

RapidStream 2.0: Automated Parallel Implementation of Latency-Insensitive FPGA Designs Through Partial Reconfiguration.

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

ACM Trans. Reconfigurable Technol. Syst., December, 2023

TAPA: A Scalable Task-parallel Dataflow Programming Framework for Modern FPGAs with Co-optimization of HLS and Physical Design.

Licheng Guo, Yuze Chi, Jason Lau, Linghao Song, Xingyu Tian, Moazin Khatti, Weikang Qiao, Jie Wang, Ecenur Ustun, Zhenman Fang, Zhiru Zhang, Jason Cong

ACM Trans. Reconfigurable Technol. Syst., December, 2023

In-Storage Acceleration of Graph-Traversal-Based Approximate Nearest Neighbor Search.

Yitu Wang, Shiyu Li, Qilin Zheng, Linghao Song, Zongwang Li, Andrew Chang, Hai (Helen) Li, Yiran Chen

CoRR, 2023

TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs.

Neha Prakriya, Yuze Chi, Suhail Basalama, Linghao Song, Jason Cong

CoRR, 2023

ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers.

Linghao Song, Fan Chen, Hai Li, Yiran Chen

Proceedings of the International Conference for High Performance Computing, 2023

Callipepla: Stream Centric Instruction Set and Mixed Precision for Accelerating Conjugate Gradient Solver.

Linghao Song, Licheng Guo, Suhail Basalama, Yuze Chi, Robert F. Lucas, Jason Cong

Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

2022

PYXIS: An Open-Source Performance Dataset Of Sparse Accelerators.

Linghao Song, Yuze Chi, Jason Cong

Proceedings of the IEEE International Conference on Acoustics, 2022

Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication.

Linghao Song, Yuze Chi, Atefeh Sohrabizadeh, Young-kyu Choi, Jason Lau, Jason Cong

Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022

Serpens: a high bandwidth memory based accelerator for general-purpose sparse matrix-vector multiplication.

Linghao Song, Yuze Chi, Licheng Guo, Jason Cong

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Improving Multilevel Writes on Vertical 3-D Cross-Point Resistive Memory.

Chengning Wang, Dan Feng, Wei Tong, Yu Hua, Jingning Liu, Bing Wu, Wei Zhao, Linghao Song, Yang Zhang, Jie Xu, Xueliang Wei, Yiran Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Marvel: A Vertical Resistive Accelerator for Low-Power Deep Learning Inference in Monolithic 3D.

Fan Chen, Linghao Song, Hai Li, Yiran Chen

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

RAISE: A Resistive Accelerator for Subject-Independent EEG Signal Classification.

Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

Accelerator Architectures for Deep Learning and Graph Processing.

Linghao Song

PhD thesis, 2020

Low-Cost Floating-Point Processing in ReRAM for Scientific Computing.

Linghao Song, Fan Chen, Xuehai Qian, Hai Li, Yiran Chen

CoRR, 2020

GaaS-X: Graph Analytics Accelerator Supporting Sparse Data Representation using Crossbar Architectures.

Nagadastagiri Challapalle, Sahithi Rampalli, Linghao Song, Nandhini Chandramoorthy, Karthik Swaminathan, John Sampson, Yiran Chen, Vijaykrishnan Narayanan

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators.

Linghao Song, Fan Chen, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

ReBoc: Accelerating Block-Circulant Neural Networks in ReRAM.

Yitu Wang, Fan Chen, Linghao Song, C.-J. Richard Shi, Hai Helen Li, Yiran Chen

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training.

Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen, Weisheng Zhao

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Parallelism in Deep Learning Accelerators.

Linghao Song, Fan Chen, Yiran Chen, Hai Helen Li

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

PARC: A Processing-in-CAM Architecture for Genomic Long Read Pairwise Alignment using ReRAM.

Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

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 Trans. High Perform. Comput., 2019

How to Obtain and Run Light and Efficient Deep Learning Networks.

Fan Chen, Wei Wen, Linghao Song, Jingchi Zhang, Hai Helen Li, Yiran Chen

Proceedings of the International Conference on Computer-Aided Design, 2019

Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data.

Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok

Proceedings of the IEEE International Conference on Acoustics, 2019

HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array.

Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen

Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

Efficient Process-in-Memory Architecture Design for Unsupervised GAN-based Deep Learning using ReRAM.

Fan Chen, Linghao Song, Hai (Helen) Li

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

ZARA: A Novel Zero-free Dataflow Accelerator for Generative Adversarial Networks in 3D ReRAM.

Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Taming extreme heterogeneity via machine learning based design of autonomous manycore systems.

Paul Bogdan, Fan Chen, Aryan Deshwal, Janardhan Rao Doppa, Biresh Kumar Joardar, Hai (Helen) Li, Shahin Nazarian, Linghao Song, Yao Xiao

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, 2019

DPATCH: An Adversarial Patch Attack on Object Detectors.

Xin Liu, Huanrui Yang, Ziwei Liu, Linghao Song, Yiran Chen, Hai Li

Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019

2018

DPatch: Attacking Object Detectors with Adversarial Patches.

Xin Liu, Huanrui Yang, Linghao Song, Hai Li, Yiran Chen

CoRR, 2018

GraphR: Accelerating Graph Processing Using ReRAM.

Linghao Song, Youwei Zhuo, Xuehai Qian, Hai Helen Li, Yiran Chen

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018

ReRAM-based accelerator for deep learning.

Bing Li, Linghao Song, Fan Chen, Xuehai Qian, Yiran Chen, Hai Helen Li

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

ReCom: An efficient resistive accelerator for compressed deep neural networks.

Houxiang Ji, Linghao Song, Li Jiang, Hai Helen Li, Yiran Chen

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

Atomlayer: a universal reRAM-based CNN accelerator with atomic layer computation.

Ximing Qiao, Xiong Cao, Huanrui Yang, Linghao Song, Hai Li

Proceedings of the 55th Annual Design Automation Conference, 2018

ReGAN: A pipelined ReRAM-based accelerator for generative adversarial networks.

Fan Chen, Linghao Song, Yiran Chen

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

2017

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

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning.

Linghao Song, Xuehai Qian, Hai Li, Yiran Chen

Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017

Classification accuracy improvement for neuromorphic computing systems with one-level precision synapses.

Yandan Wang, Wei Wen, Linghao Song, Hai Helen Li

Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

2016

NVSim-VX^s: an improved NVSim for variation aware STT-RAM simulation.

Enes Eken, Linghao Song, Ismail Bayram, Cong Xu, Wujie Wen, Yuan Xie, Yiran Chen

Proceedings of the 53rd Annual Design Automation Conference, 2016

2015

A spiking neuromorphic design with resistive crossbar.

Chenchen Liu, Bonan Yan, Chaofei Yang, Linghao Song, Zheng Li, Beiye Liu, Yiran Chen, Hai Li, Qing Wu, Hao Jiang

Proceedings of the 52nd Annual Design Automation Conference, 2015

Spiking-based matrix computation by leveraging memristor crossbar array.

Hai (Helen) Li, Chenchen Liu, Bonan Yan, Chaofei Yang, Linghao Song, Zheng Li, Yiran Chen, Weijie Zhu, Qing Wu, Hao Jiang

Proceedings of the 2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2015