Linghao Song - RankMe

58 papers A* 12A 12Misc 4Journal 20Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Enabling Unstructured Sparse Fine-Tuning and Inference for Foundation Models on Wafer-Scale Engine. SC Workshops Haoyu Zheng, Yifan Zeng, Linghao Song, Murali Emani, Wenqian Dong
2025	Misc	`conf`	NoH: NoC Compilation in High-Level Synthesis. FCCM Huifeng Ke, Sihao Liu, Licheng Guo, Zifan He, Linghao Song, Suhail Basalama, Yuze Chi, Tony Nowatzki, Jason Cong
2025	J	`jnl`	Transforming cataract care through artificial intelligence: an evaluation of large language models' performance in addressing cataract-related queries. Frontiers Artif. Intell. Xinyue Wang, Yan Liu, Linghao Song, Yinuo Wen, Shenjie Peng, Ruoxi Ren, Yi Zhang, Tianhui Chen, Yongxiang Jiang
2024	A	`conf`	LevelST: Stream-based Accelerator for Sparse Triangular Solver. FPGA Zifan He, Linghao Song, Robert F. Lucas, Jason Cong
2024	A*	`conf`	NDSEARCH: Accelerating Graph-Traversal-Based Approximate Nearest Neighbor Search through Near Data Processing. ISCA Yitu Wang, Shiyu Li, Qilin Zheng, Linghao Song, Zongwang Li, Andrew Chang, Hai Li, Yiran Chen
2024	A	`conf`	RapidStream IR: Infrastructure for FPGA High-Level Physical Synthesis. ICCAD Jason Lau, Yuanlong Xiao, Yutong Xie, Yuze Chi, Linghao Song, Shaojie Xiang, Michael Lo, Zhiru Zhang, Jason Cong, Licheng Guo
2024	J	`jnl`	RapidStream IR: Infrastructure for FPGA High-Level Physical Synthesis. CoRR Jason Lau, Yuanlong Xiao, Yutong Xie, Yuze Chi, Linghao Song, Shaojie Xiang, Michael Lo, Zhiru Zhang, Jason Cong, Licheng Guo
2024	—	`conf`	TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs. ASPLOS (3) Neha Prakriya, Yuze Chi, Suhail Basalama, Linghao Song, Jason Cong
2023	A	`conf`	Callipepla: Stream Centric Instruction Set and Mixed Precision for Accelerating Conjugate Gradient Solver. FPGA Linghao Song, Licheng Guo, Suhail Basalama, Yuze Chi, Robert F. Lucas, Jason Cong
2023	J	`jnl`	In-Storage Acceleration of Graph-Traversal-Based Approximate Nearest Neighbor Search. CoRR Yitu Wang, Shiyu Li, Qilin Zheng, Linghao Song, Zongwang Li, Andrew Chang, Hai (Helen) Li, Yiran Chen
2023	J	`jnl`	RapidStream 2.0: Automated Parallel Implementation of Latency-Insensitive FPGA Designs Through Partial Reconfiguration. ACM Trans. Reconfigurable Technol. Syst. 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
2023	A	`conf`	ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers. SC Linghao Song, Fan Chen, Hai Li, Yiran Chen
2023	J	`jnl`	TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs. CoRR Neha Prakriya, Yuze Chi, Suhail Basalama, Linghao Song, Jason Cong
2023	J	`jnl`	TAPA: A Scalable Task-parallel Dataflow Programming Framework for Modern FPGAs with Co-optimization of HLS and Physical Design. ACM Trans. Reconfigurable Technol. Syst. Licheng Guo, Yuze Chi, Jason Lau, Linghao Song, Xingyu Tian, Moazin Khatti, Weikang Qiao, Jie Wang, Ecenur Ustun, Zhenman Fang, Zhiru Zhang, Jason Cong
2022	J	`jnl`	Callipepla: Stream Centric Instruction Set and Mixed Precision for Accelerating Conjugate Gradient Solver. CoRR Linghao Song, Licheng Guo, Suhail Basalama, Yuze Chi, Robert F. Lucas, Jason Cong
2022	Misc	`conf`	PYXIS: An Open-Source Performance Dataset Of Sparse Accelerators. ICASSP Linghao Song, Yuze Chi, Jason Cong
2022	A*	`conf`	Serpens: a high bandwidth memory based accelerator for general-purpose sparse matrix-vector multiplication. DAC Linghao Song, Yuze Chi, Licheng Guo, Jason Cong
2022	A	`conf`	Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication. FPGA Linghao Song, Yuze Chi, Atefeh Sohrabizadeh, Young-kyu Choi, Jason Lau, Jason Cong
2022	J	`jnl`	TAPA: A Scalable Task-Parallel Dataflow Programming Framework for Modern FPGAs with Co-Optimization of HLS and Physical Design. CoRR Licheng Guo, Yuze Chi, Jason Lau, Linghao Song, Xingyu Tian, Moazin Khatti, Weikang Qiao, Jie Wang, Ecenur Ustun, Zhenman Fang, Zhiru Zhang, Jason Cong
2021	J	`jnl`	Improving Multilevel Writes on Vertical 3-D Cross-Point Resistive Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Chengning Wang, Dan Feng, Wei Tong, Yu Hua, Jingning Liu, Bing Wu, Wei Zhao, Linghao Song, Yang Zhang, Jie Xu, Xueliang Wei, Yiran Chen
2021	A	`conf`	Marvel: A Vertical Resistive Accelerator for Low-Power Deep Learning Inference in Monolithic 3D. DATE Fan Chen, Linghao Song, Hai Li, Yiran Chen
2021	J	`jnl`	Pyxis: An Open-Source Performance Dataset of Sparse Accelerators. CoRR Linghao Song, Yuze Chi, Jason Cong
2021	A	`conf`	RAISE: A Resistive Accelerator for Subject-Independent EEG Signal Classification. DATE Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen
2021	J	`jnl`	Serpens: A High Bandwidth Memory Based Accelerator for General-Purpose Sparse Matrix-Vector Multiplication. CoRR Linghao Song, Yuze Chi, Licheng Guo, Jason Cong
2021	J	`jnl`	Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication. CoRR Linghao Song, Yuze Chi, Atefeh Sohrabizadeh, Young-kyu Choi, Jason Lau, Jason Cong
2020	A*	`conf`	AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators. HPCA Linghao Song, Fan Chen, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen
2020	—	`—`	Accelerator Architectures for Deep Learning and Graph Processing. Linghao Song
2020	A*	`conf`	GaaS-X: Graph Analytics Accelerator Supporting Sparse Data Representation using Crossbar Architectures. ISCA Nagadastagiri Challapalle, Sahithi Rampalli, Linghao Song, Nandhini Chandramoorthy, Karthik Swaminathan, John Sampson, Yiran Chen, Vijaykrishnan Narayanan
2020	J	`jnl`	Low-Cost Floating-Point Processing in ReRAM for Scientific Computing. CoRR Linghao Song, Fan Chen, Xuehai Qian, Hai Li, Yiran Chen
2020	—	`conf`	PARC: A Processing-in-CAM Architecture for Genomic Long Read Pairwise Alignment using ReRAM. ASP-DAC Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen
2020	—	`conf`	Parallelism in Deep Learning Accelerators. ASP-DAC Linghao Song, Fan Chen, Yiran Chen, Hai Helen Li
2020	A	`conf`	ReBoc: Accelerating Block-Circulant Neural Networks in ReRAM. DATE Yitu Wang, Fan Chen, Linghao Song, Chuanjin Richard Shi, Hai Helen Li, Yiran Chen
2020	A*	`conf`	SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training. DAC Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen, Weisheng Zhao
2020	J	`jnl`	SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training. CoRR Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen, Weisheng Zhao
2019	—	`conf`	DPATCH: An Adversarial Patch Attack on Object Detectors. SafeAI@AAAI Xin Liu, Huanrui Yang, Ziwei Liu, Linghao Song, Yiran Chen, Hai Li
2019	J	`jnl`	Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data. CoRR Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok
2019	Misc	`conf`	Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data. ICASSP Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok
2019	—	`conf`	Efficient Process-in-Memory Architecture Design for Unsupervised GAN-based Deep Learning using ReRAM. ACM Great Lakes Symposium on VLSI Fan Chen, Linghao Song, Hai (Helen) Li
2019	A	`conf`	How to Obtain and Run Light and Efficient Deep Learning Networks. ICCAD Fan Chen, Wei Wen, Linghao Song, Jingchi Zhang, Hai Helen Li, Yiran Chen
2019	A*	`conf`	HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array. HPCA Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen
2019	J	`jnl`	HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array. CoRR Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen
2019	J	`jnl`	ReBNN: in-situ acceleration of binarized neural networks in ReRAM using complementary resistive cell. CCF Trans. High Perform. Comput. Linghao Song, You Wu, Xuehai Qian, Hai Li, Yiran Chen
2019	Misc	`conf`	Taming extreme heterogeneity via machine learning based design of autonomous manycore systems. CODES+ISSS Paul Bogdan, Fan Chen, Aryan Deshwal, Janardhan Rao Doppa, Biresh Kumar Joardar, Hai (Helen) Li, Shahin Nazarian, Linghao Song, Yao Xiao
2019	A*	`conf`	ZARA: A Novel Zero-free Dataflow Accelerator for Generative Adversarial Networks in 3D ReRAM. DAC Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen
2018	A*	`conf`	Atomlayer: a universal reRAM-based CNN accelerator with atomic layer computation. DAC Ximing Qiao, Xiong Cao, Huanrui Yang, Linghao Song, Hai Li
2018	J	`jnl`	DPatch: Attacking Object Detectors with Adversarial Patches. CoRR Xin Liu, Huanrui Yang, Linghao Song, Hai Li, Yiran Chen
2018	A*	`conf`	GraphR: Accelerating Graph Processing Using ReRAM. HPCA Linghao Song, Youwei Zhuo, Xuehai Qian, Hai Helen Li, Yiran Chen
2018	A	`conf`	ReCom: An efficient resistive accelerator for compressed deep neural networks. DATE Houxiang Ji, Linghao Song, Li Jiang, Hai Helen Li, Yiran Chen
2018	—	`conf`	ReGAN: A pipelined ReRAM-based accelerator for generative adversarial networks. ASP-DAC Fan Chen, Linghao Song, Yiran Chen
2018	A	`conf`	ReRAM-based accelerator for deep learning. DATE Bing Li, Linghao Song, Fan Chen, Xuehai Qian, Yiran Chen, Hai Helen Li
2017	J	`jnl`	Classification Accuracy Improvement for Neuromorphic Computing Systems with One-level Precision Synapses. CoRR Yandan Wang, Wei Wen, Linghao Song, Hai (Helen) Li
2017	—	`conf`	Classification accuracy improvement for neuromorphic computing systems with one-level precision synapses. ASP-DAC Yandan Wang, Wei Wen, Linghao Song, Hai Helen Li
2017	J	`jnl`	GraphR: Accelerating Graph Processing Using ReRAM. CoRR Linghao Song, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen
2017	A	`conf`	MeDNN: A distributed mobile system with enhanced partition and deployment for large-scale DNNs. ICCAD Jiachen Mao, Zhongda Yang, Wei Wen, Chunpeng Wu, Linghao Song, Kent W. Nixon, Xiang Chen, Hai Li, Yiran Chen
2017	A*	`conf`	PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning. HPCA Linghao Song, Xuehai Qian, Hai Li, Yiran Chen
2016	A*	`conf`	NVSim-VX DAC Enes Eken, Linghao Song, Ismail Bayram, Cong Xu, Wujie Wen, Yuan Xie, Yiran Chen
2015	A*	`conf`	A spiking neuromorphic design with resistive crossbar. DAC Chenchen Liu, Bonan Yan, Chaofei Yang, Linghao Song, Zheng Li, Beiye Liu, Yiran Chen, Hai Li, Qing Wu, Hao Jiang
2015	—	`conf`	Spiking-based matrix computation by leveraging memristor crossbar array. CISDA Hai (Helen) Li, Chenchen Liu, Bonan Yan, Chaofei Yang, Linghao Song, Zheng Li, Yiran Chen, Weijie Zhu, Qing Wu, Hao Jiang