FINN: A Framework for Fast, Scalable Binarized Neural Network Inference

1 December 2016

Papers citing "FINN: A Framework for Fast, Scalable Binarized Neural Network Inference"

22 / 222 papers shown

Title
XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional Neural Networks A. Bahou G. Karunaratne Renzo Andri Lukas Cavigelli Luca Benini MQ 17 45 0 05 Mar 2018
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework Yanzhi Wang Caiwen Ding Zhe Li Geng Yuan Siyu Liao ... Bo Yuan Xuehai Qian Jian Tang Qinru Qiu X. Lin 23 33 0 18 Feb 2018
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning Tianqi Chen T. Moreau Ziheng Jiang Lianmin Zheng Eddie Q. Yan ... Leyuan Wang Yuwei Hu Luis Ceze Carlos Guestrin Arvind Krishnamurthy 44 374 0 12 Feb 2018
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks Jian Cheng Peisong Wang Gang Li Qinghao Hu Hanqing Lu 32 3 0 03 Feb 2018
Automated flow for compressing convolution neural networks for efficient edge-computation with FPGA F. Shafiq Takato Yamada Antonio T. Vilchez Sakyasingha Dasgupta MQ 21 3 0 18 Dec 2017
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks Hardik Sharma Jongse Park Naveen Suda Liangzhen Lai Benson Chau Joo-Young Kim Vikas Chandra H. Esmaeilzadeh MQ 29 486 0 05 Dec 2017
NEURAghe: Exploiting CPU-FPGA Synergies for Efficient and Flexible CNN Inference Acceleration on Zynq SoCs Paolo Meloni Alessandro Capotondi Gianfranco Deriu Michele Brian Francesco Conti D. Rossi L. Raffo Luca Benini 11 51 0 04 Dec 2017
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity? Manuele Rusci Lukas Cavigelli Luca Benini MQ 23 20 0 21 Nov 2017
Tactics to Directly Map CNN graphs on Embedded FPGAs K. Abdelouahab Maxime Pelcat Jocelyn Sérot C. Bourrasset F. Berry Jocelyn Serot 13 61 0 20 Nov 2017
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy Asit K. Mishra Debbie Marr FedML 38 330 0 15 Nov 2017
ReBNet: Residual Binarized Neural Network M. Ghasemzadeh Mohammad Samragh F. Koushanfar MQ 27 4 0 03 Nov 2017
The implementation of a Deep Recurrent Neural Network Language Model on a Xilinx FPGA Yufeng Hao S. Quigley 35 16 0 26 Oct 2017
Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks Julian Faraone Nicholas J. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong MQ UQCV 21 12 0 19 Sep 2017
Streamlined Deployment for Quantized Neural Networks Yaman Umuroglu Magnus Jahre MQ 21 36 0 12 Sep 2017
WRPN: Wide Reduced-Precision Networks Asit K. Mishra Eriko Nurvitadhi Jeffrey J. Cook Debbie Marr MQ 39 266 0 04 Sep 2017
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices Caiwen Ding Siyu Liao Yanzhi Wang Zhe Li Ning Liu ... Yipeng Zhang Jian Tang Qinru Qiu X. Lin Bo Yuan GNN 24 259 0 29 Aug 2017
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform Chaim Baskin Natan Liss Evgenii Zheltonozhskii A. Bronstein A. Mendelson GNN MQ 36 35 0 31 Jul 2017
Ternary Residual Networks Abhisek Kundu K. Banerjee Naveen Mellempudi Dheevatsa Mudigere Dipankar Das Bharat Kaul Pradeep Dubey 34 8 0 15 Jul 2017
Ternary Neural Networks with Fine-Grained Quantization Naveen Mellempudi Abhisek Kundu Dheevatsa Mudigere Dipankar Das Bharat Kaul Pradeep Dubey MQ 24 111 0 02 May 2017
Deep Reservoir Computing Using Cellular Automata Stefano Nichele Andreas Molund 16 27 0 08 Mar 2017
Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point Naveen Mellempudi Abhisek Kundu Dipankar Das Dheevatsa Mudigere Bharat Kaul MQ 35 30 0 31 Jan 2017
Scaling Binarized Neural Networks on Reconfigurable Logic Nicholas J. Fraser Yaman Umuroglu Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre K. Vissers MQ 20 57 0 12 Jan 2017