Zhuoran Song

According to our database, Zhuoran Song authored at least 44 papers between 2018 and 2024.

Collaborative distances:

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

2024

Janus: A Flexible Processing-in-Memory Graph Accelerator Toward Sparsity.

Xing Li, Zhuoran Song, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Xuhang Wang, Jiayao Ling, Gang Li, Naifeng Jing, Xiaoyao Liang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2024

SRender: Boosting Neural Radiance Field Efficiency via Sensitivity-Aware Dynamic Precision Rendering.

Zhuoran Song, Houshu He, Fangxin Liu, Yifan Hao, Xinkai Song, Li Jiang, Xiaoyao Liang

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding.

Fangxin Liu, Ning Yang, Haomin Li, Zongwu Wang, Zhuoran Song, Songwen Pei, Li Jiang

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

Watt: A Write-Optimized RRAM-Based Accelerator for Attention.

Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Naifeng Jing, Li Jiang, Xiaoyao Liang

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

Sava: A Spatial- and Value-Aware Accelerator for Point Cloud Transformer.

Xueyuan Liu, Zhuoran Song, Xiang Liao, Xing Li, Tao Yang, Fangxin Liu, Xiaoyao Liang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks.

Xueyuan Liu, Zhuoran Song, Guohao Dai, Gang Li, Can Xiao, Yan Xiang, Dehui Kong, Ke Xu, Xiaoyao Liang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

EOS: An Energy-Oriented Attack Framework for Spiking Neural Networks.

Ning Yang, Fangxin Liu, Zongwu Wang, Haomin Li, Zhuoran Song, Songwen Pei, Li Jiang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

InterArch: Video Transformer Acceleration via Inter-Feature Deduplication with Cube-based Dataflow.

Xuhang Wang, Zhuoran Song, Xiaoyao Liang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

TSAcc: An Efficient \underline{T}empo-\underline{S}patial Similarity Aware \underline{Acc}elerator for Attention Acceleration.

Zhuoran Song, Chunyu Qi, Yuanzheng Yao, Peng Zhou, Yanyi Zi, Nan Wang, Xiaoyao Liang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

INSPIRE: Accelerating Deep Neural Networks via Hardware-friendly Index-Pair Encoding.

Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Haomin Li, Shiyuan Huang, Zhuoran Song, Songwen Pei, Li Jiang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

MoC: A Morton-Code-Based Fine-Grained Quantization for Accelerating Point Cloud Neural Networks.

Xueyuan Liu, Zhuoran Song, Hao Chen, Xing Li, Xiaoyao Liang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

CMC: Video Transformer Acceleration via CODEC Assisted Matrix Condensing.

Zhuoran Song, Chunyu Qi, Fangxin Liu, Naifeng Jing, Xiaoyao Liang

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information.

Zhuoran Song, Wanzhen Liu, Tao Yang, Fangxin Liu, Naifeng Jing, Xiaoyao Liang

IEEE Trans. Parallel Distributed Syst., December, 2023

Impact of Photovoltaic Systems on Distribution Networks with Advances of Cloud, Grid and Cluster Computing.

Zhuoran Song, Jianfeng Li, Tao Jiang, Sichen Lu

Scalable Comput. Pract. Exp., November, 2023

Distribution Network Planning Method considering the Coupling of Transportation Network and Distribution Network.

Zhuoran Song, Jianfeng Li, Tao Jiang, Sichen Lu

Scalable Comput. Pract. Exp., September, 2023

Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration Framework.

Zhuoran Song, Heng Lu, Li Jiang, Naifeng Jing, Xiaoyao Liang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2023

E²-VOR: An End-to-End En/Decoder Architecture for Efficient Video Object Recognition.

Zhuoran Song, Naifeng Jing, Xiaoyao Liang

ACM Trans. Design Autom. Electr. Syst., January, 2023

PASGCN: An ReRAM-Based PIM Design for GCN With Adaptively Sparsified Graphs.

Tao Yang, Dongyue Li, Fei Ma, Zhuoran Song, Yilong Zhao, Jiaxi Zhang, Fangxin Liu, Li Jiang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

HyAcc: A Hybrid CAM-MAC RRAM-based Accelerator for Recommendation Model.

Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

RealArch: A Real-Time Scheduler for Mapping Multi-Tenant DNNs on Multi-Core Accelerators.

Xuhang Wang, Zhuoran Song, Xiaoyao Liang

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

DEQ: Dynamic Element-wise Quantization for Efficient Attention Architecture.

Xuhang Wang, Zhuoran Song, Qiyue Huang, Xiaoyao Liang

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

ViTframe: Vision Transformer Acceleration via Informative Frame Selection for Video Recognition.

Chunyu Qi, Zilong Li, Zhuoran Song, Xiaoyao Liang

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation.

Zhuoran Song, Heng Lu, Gang Li, Li Jiang, Naifeng Jing, Xiaoyao Liang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

AdaS: A Fast and Energy-Efficient CNN Accelerator Exploiting Bit-Sparsity.

Xiaolong Lin, Gang Li, Zizhao Liu, Yadong Liu, Fan Zhang, Zhuoran Song, Naifeng Jing, Xiaoyao Liang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation.

Zhuoran Song, Naifeng Jing, Xiaoyao Liang

Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022

DNN Training Acceleration via Exploring GPGPU Friendly Sparsity.

Zhuoran Song, Yihong Xu, Han Li, Naifeng Jing, Xiaoyao Liang, Li Jiang

CoRR, 2022

CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction.

Zhuoran Song, Yihong Xu, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang

CoRR, 2022

Ristretto: An Atomized Processing Architecture for Sparsity-Condensed Stream Flow in CNN.

Gang Li, Weixiang Xu, Zhuoran Song, Naifeng Jing, Jian Cheng, Xiaoyao Liang

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

GCNTrain: A Unified and Efficient Accelerator for Graph Convolutional Neural Network Training.

Heng Lu, Zhuoran Song, Xing Li, Naifeng Jing, Xiaoyao Liang

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

Gzippo: Highly-Compact Processing-in-Memory Graph Accelerator Alleviating Sparsity and Redundancy.

Xing Li, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Heng Lu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture.

Tao Yang, Dongyue Li, Zhuoran Song, Yilong Zhao, Fangxin Liu, Zongwu Wang, Zhezhi He, Li Jiang

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

E²SR: an end-to-end video CODEC assisted system for super resolution acceleration.

Zhuoran Song, Zhongkai Yu, Naifeng Jing, Xiaoyao Liang

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

2021

ITT-RNA: Imperfection Tolerable Training for RRAM-Crossbar-Based Deep Neural-Network Accelerator.

Zhuoran Song, Yanan Sun, Lerong Chen, Tianjian Li, Naifeng Jing, Xiaoyao Liang, Li Jiang

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

PIPArch: Programmable Image Processing Architecture Using Sliding Array.

Feiyang Wu, Zhuoran Song, Jing Ke, Li Jiang, Naifeng Jing, Xiaoyao Liang

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

ReRAM-Sharing: Fine-Grained Weight Sharing for ReRAM-Based Deep Neural Network Accelerator.

Zhuoran Song, Dongyue Li, Zhezhi He, Xiaoyao Liang, Li Jiang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020

VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration.

Zhuoran Song, Feiyang Wu, Xueyuan Liu, Jing Ke, Naifeng Jing, Xiaoyao Liang

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

DRQ: Dynamic Region-based Quantization for Deep Neural Network Acceleration.

Zhuoran Song, Bangqi Fu, Feiyang Wu, Zhaoming Jiang, Li Jiang, Naifeng Jing, Xiaoyao Liang

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

PRArch: Pattern-Based Reconfigurable Architecture for Deep Neural Network Acceleration.

Zhaoming Jiang, Zhuoran Song, Xiaoyao Liang, Naifeng Jing

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

ESNreram: An Energy-Efficient Sparse Neural Network Based on Resistive Random-Access Memory.

Zhuoran Song, Yilong Zhao, Yanan Sun, Xiaoyao Liang, Li Jiang

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

GPNPU: Enabling Efficient Hardware-Based Direct Convolution with Multi-Precision Support in GPU Tensor Cores.

Zhuoran Song, Jianfei Wang, Tianjian Li, Li Jiang, Jing Ke, Xiaoyao Liang, Naifeng Jing

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

2019

Energy-Efficient and Quality-Assured Approximate Computing Framework Using a Co-Training Method.

Li Jiang, Zhuoran Song, Haiyue Song, Chengwen Xu, Qiang Xu, Naifeng Jing, Weifeng Zhang, Xiaoyao Liang

ACM Trans. Design Autom. Electr. Syst., 2019

Approximate Random Dropout for DNN training acceleration in GPGPU.

Zhuoran Song, Ru Wang, Dongyu Ru, Zhenghao Peng, Hongru Huang, Hai Zhao, Xiaoyao Liang, Li Jiang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

Approximate Random Dropout.

Zhuoran Song, Dongyu Ru, Ru Wang, Hongru Huang, Zhenghao Peng, Jing Ke, Xiaoyao Liang, Li Jiang

CoRR, 2018

Invocation-driven neural approximate computing with a multiclass-classifier and multiple approximators.

Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang

Proceedings of the International Conference on Computer-Aided Design, 2018