NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps

5 June 2017

Ricardo Tapiador-Morales

Iulia-Alexandra Lungu

Papers citing "NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps"

36 / 36 papers shown

Title
Towards Mobile Sensing with Event Cameras on High-agility Resource-constrained Devices: A Survey Haoyang Wang Ruishan Guo Pengtao Ma Ciyu Ruan Xinyu Luo Wenhua Ding Tianyang Zhong Jingao Xu Yunhao Liu Xinlei Chen 55 0 0 29 Mar 2025
Co-designing a Sub-millisecond Latency Event-based Eye Tracking System with Submanifold Sparse CNN Baoheng Zhang Yizhao Gao Jingyuan Li Hayden Kwok-Hay So 42 3 0 22 Apr 2024
Tensor Slicing and Optimization for Multicore NPUs R. Sousa M. Pereira Yongin Kwon Taeho Kim Namsoon Jung Chang Soo Kim Michael Frank Guido Araujo 30 5 0 06 Apr 2023
Cross-Layer Design for AI Acceleration with Non-Coherent Optical Computing Febin P. Sunny Mahdi Nikdast S. Pasricha 32 5 0 22 Mar 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
Improved Projection Learning for Lower Dimensional Feature Maps Ilan Price Jared Tanner 24 3 0 27 Oct 2022
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification Yihe Lu Maoguo Gong Wei Zhao Kaiyuan Feng Hao Li VLM 29 0 0 09 Aug 2022
An Ultra-low Power TinyML System for Real-time Visual Processing at Edge Kunran Xu Huawei Zhang Yishi Li Yuhao Zhang Rui Lai Yi Liu 27 22 0 11 Jul 2022
Efficient Adaptive Federated Optimization of Federated Learning for IoT Zunming Chen Hongyan Cui Ensen Wu Yu Xi 27 0 0 23 Jun 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
AEGNN: Asynchronous Event-based Graph Neural Networks S. Schaefer Daniel Gehrig Davide Scaramuzza GNN 26 142 0 31 Mar 2022
Exploiting Spatial Sparsity for Event Cameras with Visual Transformers Zuowen Wang Yuhuang Hu Shih-Chii Liu ViT 36 33 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
Two Sparsities Are Better Than One: Unlocking the Performance Benefits of Sparse-Sparse Networks Kevin Lee Hunter Lawrence Spracklen Subutai Ahmad 23 20 0 27 Dec 2021
Synapse Compression for Event-Based Convolutional-Neural-Network Accelerators Lennart Bamberg Arash Pourtaherian Luc Waeijen A. Chahar Orlando Moreira 14 4 0 13 Dec 2021
Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-Temporal Sparsity Chang Gao T. Delbruck Shih-Chii Liu 21 44 0 04 Aug 2021
ROBIN: A Robust Optical Binary Neural Network Accelerator Febin P. Sunny Asif Mirza Mahdi Nikdast S. Pasricha MQ 33 35 0 12 Jul 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
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Mohamed Bennai BDL 59 140 0 21 Dec 2020
Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node Alfio Di Mauro Francesco Conti Pasquale Davide Schiavone D. Rossi Luca Benini 21 9 0 17 Jul 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights Shail Dave Riyadh Baghdadi Tony Nowatzki Sasikanth Avancha Aviral Shrivastava Baoxin Li 64 82 0 02 Jul 2020
Fully Embedding Fast Convolutional Networks on Pixel Processor Arrays Laurie Bose Jianing Chen S. Carey Piotr Dudek W. Mayol-Cuevas 22 37 0 27 Apr 2020
Computation on Sparse Neural Networks: an Inspiration for Future Hardware Fei Sun Minghai Qin Tianyun Zhang Liu Liu Yen-kuang Chen Yuan Xie 37 7 0 24 Apr 2020
Data-Driven Neuromorphic DRAM-based CNN and RNN Accelerators T. Delbruck Shih-Chii Liu 10 4 0 29 Mar 2020
Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic Accelerators Clemens J. S. Schaefer Patrick Faley Emre Neftci S. Joshi 22 2 0 05 Mar 2020
Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification A. Linares-Barranco A. Rios-Navarro Ricardo Tapiador-Morales T. Delbruck 30 19 0 17 May 2019
NeuPart: Using Analytical Models to Drive Energy-Efficient Partitioning of CNN Computations on Cloud-Connected Mobile Clients Susmita Dey Manasi F. S. Snigdha S. Sapatnekar 34 16 0 09 May 2019
The importance of space and time in neuromorphic cognitive agents Giacomo Indiveri Yulia Sandamirskaya AI4CE 30 49 0 26 Feb 2019
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization Hesham Mostafa Xin Wang 37 307 0 15 Feb 2019
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams Lukas Cavigelli Luca Benini 27 26 0 15 Aug 2018
XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference Francesco Conti Pasquale Davide Schiavone Luca Benini 34 108 0 09 Jul 2018
Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine Renzo Andri Lukas Cavigelli D. Rossi Luca Benini MQ 24 19 0 05 Mar 2018
ADaPTION: Toolbox and Benchmark for Training Convolutional Neural Networks with Reduced Numerical Precision Weights and Activation Moritz B. Milde Daniel Neil Alessandro Aimar T. Delbruck Giacomo Indiveri MQ 34 9 0 13 Nov 2017
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data Lukas Cavigelli Philippe Degen Luca Benini BDL 25 51 0 14 Apr 2017
Delta Networks for Optimized Recurrent Network Computation Daniel Neil Junhaeng Lee T. Delbruck Shih-Chii Liu 33 66 0 16 Dec 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 235 2,059 0 07 Jun 2016