Linghao Song

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 50

Top Topics

Approximate Nearest Neighbor Search

Parallel Implementation

Top Venues

Publications

Neha Prakriya, Yuze Chi, Suhail Basalama, Linghao Song, Jason Cong
TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs. ASPLOS (3) (2024)
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)
Zifan He, Linghao Song, Robert F. Lucas, Jason Cong
LevelST: Stream-based Accelerator for Sparse Triangular Solver. FPGA (2024)
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)
Linghao Song, Fan Chen, Hai Li, Yiran Chen
ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers. SC (2023)
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 (2023)
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) (2023)
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) (2023)
Neha Prakriya, Yuze Chi, Suhail Basalama, Linghao Song, Jason Cong
TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs. CoRR (2023)
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 (2022)
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 (2022)
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)
Linghao Song, Yuze Chi, Jason Cong
PYXIS: An Open-Source Performance Dataset Of Sparse Accelerators. ICASSP (2022)
Linghao Song, Yuze Chi, Licheng Guo, Jason Cong
Serpens: a high bandwidth memory based accelerator for general-purpose sparse matrix-vector multiplication. DAC (2022)
Fan Chen, Linghao Song, Hai Li, Yiran Chen
Marvel: A Vertical Resistive Accelerator for Low-Power Deep Learning Inference in Monolithic 3D. DATE (2021)
Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen
RAISE: A Resistive Accelerator for Subject-Independent EEG Signal Classification. DATE (2021)
Linghao Song, Yuze Chi, Licheng Guo, Jason Cong
Serpens: A High Bandwidth Memory Based Accelerator for General-Purpose Sparse Matrix-Vector Multiplication. CoRR (2021)
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) (2021)
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 (2021)
Linghao Song, Yuze Chi, Jason Cong
Pyxis: An Open-Source Performance Dataset of Sparse Accelerators. CoRR (2021)
Linghao Song, Fan Chen, Yiran Chen, Hai Helen Li
Parallelism in Deep Learning Accelerators. ASP-DAC (2020)
Linghao Song, Fan Chen, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen
AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators. HPCA (2020)
Linghao Song, Fan Chen, Xuehai Qian, Hai Li, Yiran Chen
Low-Cost Floating-Point Processing in ReRAM for Scientific Computing. CoRR (2020)
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)
Yitu Wang, Fan Chen, Linghao Song, C.-J. Richard Shi, Hai Helen Li, Yiran Chen
ReBoc: Accelerating Block-Circulant Neural Networks in ReRAM. DATE (2020)
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)
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 (2020)
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)
Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen
HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array. HPCA (2019)
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)
Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen
HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array. CoRR (2019)
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 (2019)
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)
Xin Liu, Huanrui Yang, Ziwei Liu, Linghao Song, Yiran Chen, Hai Li
DPATCH: An Adversarial Patch Attack on Object Detectors. SafeAI@AAAI (2019)
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) (2019)
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)
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)
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)
Fan Chen, Linghao Song, Yiran Chen
ReGAN: A pipelined ReRAM-based accelerator for generative adversarial networks. ASP-DAC (2018)
Bing Li, Linghao Song, Fan Chen, Xuehai Qian, Yiran Chen, Hai Helen Li
ReRAM-based accelerator for deep learning. DATE (2018)
Houxiang Ji, Linghao Song, Li Jiang, Hai Helen Li, Yiran Chen
ReCom: An efficient resistive accelerator for compressed deep neural networks. DATE (2018)
Ximing Qiao, Xiong Cao, Huanrui Yang, Linghao Song, Hai Li
Atomlayer: a universal reRAM-based CNN accelerator with atomic layer computation. DAC (2018)
Xin Liu, Huanrui Yang, Linghao Song, Hai Li, Yiran Chen
DPatch: Attacking Object Detectors with Adversarial Patches. CoRR (2018)
Linghao Song, Youwei Zhuo, Xuehai Qian, Hai Helen Li, Yiran Chen
GraphR: Accelerating Graph Processing Using ReRAM. HPCA (2018)
Linghao Song, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen
GraphR: Accelerating Graph Processing Using ReRAM. CoRR (2017)
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)
Linghao Song, Xuehai Qian, Hai Li, Yiran Chen
PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning. HPCA (2017)
Yandan Wang, Wei Wen, Linghao Song, Hai Helen Li
Classification accuracy improvement for neuromorphic computing systems with one-level precision synapses. ASP-DAC (2017)
Yandan Wang, Wei Wen, Linghao Song, Hai (Helen) Li
Classification Accuracy Improvement for Neuromorphic Computing Systems with One-level Precision Synapses. CoRR (2017)
Enes Eken, Linghao Song, Ismail Bayram, Cong Xu, Wujie Wen, Yuan Xie, Yiran Chen
: an improved NVSim for variation aware STT-RAM simulation. DAC (2016)
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)
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)