SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks

23 May 2017

Rangharajan Venkatesan

Papers citing "SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks"

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Title
Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure Fatemeh Dehrouyeh I. Shaer S. Nikan F. Badrkhani Ajaei Abdallah Shami 66 0 0 19 Mar 2025
Ditto: Accelerating Diffusion Model via Temporal Value Similarity Sungbin Kim Hyunwuk Lee Wonho Cho Mincheol Park Won Woo Ro 58 1 0 20 Jan 2025
LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator Guoyu Li Shengyu Ye Chong Chen Yang Wang Fan Yang Ting Cao Cheng Liu Mohamed M. Sabry Mao Yang MQ 169 0 0 18 Jan 2025
$Dual sparse training framework: inducing activation map sparsity via Transformed $\ell1$ regularization$ Dual sparse training framework: inducing activation map sparsity via Transformed $\ell1$ regularization Xiaolong Yu Cong Tian 52 0 0 30 May 2024
Neural Network Compression for Reinforcement Learning Tasks Dmitry A. Ivanov D. Larionov Oleg V. Maslennikov V. Voevodin OffRL AI4CE 55 0 0 13 May 2024
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars Huy Che Quang Dinh Phuc Nguyen Minh Pham D. Lam SSeg 42 13 0 20 Jul 2023
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications Vasileios Leon Muhammad Abdullah Hanif Giorgos Armeniakos Xun Jiao Muhammad Shafique K. Pekmestzi Dimitrios Soudris 42 3 0 20 Jul 2023
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training Dario Lazzaro Antonio Emanuele Cinà Maura Pintor Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo 32 7 0 01 Jul 2023
SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving Minjae Lee Seongmin Park Hyung-Se Kim Minyong Yoon Jangwhan Lee Junwon Choi Nam Sung Kim Mingu Kang Jungwook Choi 3DPC 26 4 0 12 May 2023
Full Stack Optimization of Transformer Inference: a Survey Sehoon Kim Coleman Hooper Thanakul Wattanawong Minwoo Kang Ruohan Yan ... Qijing Huang Kurt Keutzer Michael W. Mahoney Y. Shao A. Gholami MQ 36 101 0 27 Feb 2023
Fixflow: A Framework to Evaluate Fixed-point Arithmetic in Light-Weight CNN Inference Farhad Taheri Siavash Bayat Sarmadi H. Mosanaei-Boorani Reza Taheri MQ 23 1 0 19 Feb 2023
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs Geonhwa Jeong S. Damani Abhimanyu Bambhaniya Eric Qin C. Hughes S. Subramoney Hyesoon Kim T. Krishna MoE 46 24 0 17 Feb 2023
Workload-Balanced Pruning for Sparse Spiking Neural Networks Ruokai Yin Youngeun Kim Yuhang Li Abhishek Moitra Nitin Satpute Anna Hambitzer Priyadarshini Panda 37 19 0 13 Feb 2023
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators Min-hee Yoo Jaeyong Song Hyeyoon Lee Jounghoo Lee Namhyung Kim Youngsok Kim Jinho Lee GNN 48 5 0 24 Jan 2023
Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition Yu Gong Miao Yin Lingyi Huang Chunhua Deng Yang Sui Bo Yuan 24 6 0 05 Dec 2022
LearningGroup: A Real-Time Sparse Training on FPGA via Learnable Weight Grouping for Multi-Agent Reinforcement Learning Jenny Yang Jaeuk Kim Joo-Young Kim 26 2 0 29 Oct 2022
Improved Projection Learning for Lower Dimensional Feature Maps Ilan Price Jared Tanner 24 2 0 27 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 54 5 0 19 Oct 2022
Demystifying Map Space Exploration for NPUs Sheng-Chun Kao A. Parashar Po-An Tsai T. Krishna 38 11 0 07 Oct 2022
YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception Cheng Han Qichao Zhao Shuyi Zhang Yinzi Chen Zhenlin Zhang Jinwei Yuan 47 69 0 24 Aug 2022
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning Mohammad Hossein Samavatian Saikat Majumdar Kristin Barber R. Teodorescu AAML 21 2 0 31 Jul 2022
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Ruokai Yin Priyadarshini Panda 32 46 0 04 Jul 2022
QADAM: Quantization-Aware DNN Accelerator Modeling for Pareto-Optimality A. Inci Siri Garudanagiri Virupaksha Aman Jain Venkata Vivek Thallam Ruizhou Ding Diana Marculescu MQ 38 2 0 20 May 2022
Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling Yannan Nellie Wu Po-An Tsai A. Parashar Vivienne Sze J. Emer 25 57 0 12 May 2022
Training Personalized Recommendation Systems from (GPU) Scratch: Look Forward not Backwards Youngeun Kwon Minsoo Rhu 29 27 0 10 May 2022
Sparse Compressed Spiking Neural Network Accelerator for Object Detection Hong-Han Lien Tian-Sheuan Chang 19 27 0 02 May 2022
Multiply-and-Fire (MNF): An Event-driven Sparse Neural Network Accelerator Miao Yu Tingting Xiang Venkata Pavan Kumar Miriyala Trevor E. Carlson 20 1 0 20 Apr 2022
Accelerating Attention through Gradient-Based Learned Runtime Pruning Zheng Li Soroush Ghodrati Amir Yazdanbakhsh H. Esmaeilzadeh Mingu Kang 27 17 0 07 Apr 2022
Energy-Latency Attacks via Sponge Poisoning Antonio Emanuele Cinà Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo SILM 55 29 0 14 Mar 2022
Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning Guyue Huang Haoran Li Minghai Qin Fei Sun Yufei Din Yuan Xie 32 18 0 09 Mar 2022
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks Ranggi Hwang M. Kang Jiwon Lee D. Kam Youngjoo Lee Minsoo Rhu GNN 18 20 0 01 Mar 2022
HiMA: A Fast and Scalable History-based Memory Access Engine for Differentiable Neural Computer Yaoyu Tao Zhengya Zhang 30 5 0 15 Feb 2022
Mixture-of-Rookies: Saving DNN Computations by Predicting ReLU Outputs D. Pinto J. Arnau Antonio González 33 1 0 10 Feb 2022
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators Lois Orosa Skanda Koppula Yaman Umuroglu Konstantinos Kanellopoulos Juan Gómez Luna Michaela Blott K. Vissers O. Mutlu 46 4 0 04 Feb 2022
SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation Atefeh Sohrabizadeh Yuze Chi Jason Cong GNN 29 1 0 10 Nov 2021
Phantom: A High-Performance Computational Core for Sparse Convolutional Neural Networks Mahmood Azhar Qureshi Arslan Munir 30 0 0 09 Nov 2021
Memory-Efficient CNN Accelerator Based on Interlayer Feature Map Compression Zhuang Shao Xiaoliang Chen Li Du Lei Chen Yuan Du Weihao Zhuang Huadong Wei Chenjia Xie Zhongfeng Wang 13 26 0 12 Oct 2021
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators Yangjie Zhou Mengtian Yang Cong Guo Jingwen Leng Yun Liang Quan Chen M. Guo Yuhao Zhu 34 33 0 08 Oct 2021
Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks Amirali Boroumand Saugata Ghose Berkin Akin Ravi Narayanaswami Geraldo F. Oliveira Xiaoyu Ma Eric Shiu O. Mutlu 25 81 0 29 Sep 2021
S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration Zhi-Gang Liu P. Whatmough Yuhao Zhu Matthew Mattina MQ 14 75 0 16 Jul 2021
On the Impact of Device-Level Techniques on Energy-Efficiency of Neural Network Accelerators Seyed Morteza Nabavinejad Behzad Salami 17 1 0 26 Jun 2021
Spectral Pruning for Recurrent Neural Networks Takashi Furuya Kazuma Suetake K. Taniguchi Hiroyuki Kusumoto Ryuji Saiin Tomohiro Daimon 27 4 0 23 May 2021
Dual-side Sparse Tensor Core Yang-Feng Wang Chen Zhang Zhiqiang Xie Cong Guo Yunxin Liu Jingwen Leng 25 75 0 20 May 2021
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators Qijing Huang Minwoo Kang Grace Dinh Thomas Norell Aravind Kalaiah J. Demmel J. Wawrzynek Y. Shao 23 107 0 05 May 2021
VersaGNN: a Versatile accelerator for Graph neural networks Feng Shi Yiqiao Jin Song-Chun Zhu GNN 58 17 0 04 May 2021
RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging Chao-Tsung Huang 40 10 0 19 Apr 2021
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats Eric Qin Geonhwa Jeong William Won Sheng-Chun Kao Hyoukjun Kwon Sudarshan Srinivasan Dipankar Das G. Moon S. Rajamanickam T. Krishna 32 18 0 18 Mar 2021
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation Stylianos I. Venieris Javier Fernandez-Marques Nicholas D. Lane 24 11 0 09 Mar 2021
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search Kartik Hegde Po-An Tsai Sitao Huang Vikas Chandra A. Parashar Christopher W. Fletcher 26 92 0 02 Mar 2021
Mitigating Edge Machine Learning Inference Bottlenecks: An Empirical Study on Accelerating Google Edge Models Amirali Boroumand Saugata Ghose Berkin Akin Ravi Narayanaswami Geraldo F. Oliveira Xiaoyu Ma Eric Shiu O. Mutlu 27 28 0 01 Mar 2021