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Linghao Song
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Publications
- 2023
- [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 - 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 - 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 - [c21]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: 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 - [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) - 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 - [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 - [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 - [c8]Bing Li, Linghao Song, Fan Chen, Xuehai Qian, Yiran Chen, Hai Helen Li:
ReRAM-based accelerator for deep learning. DATE 2018: 815-820
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