XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference

9 July 2018

Luca Benini

Papers citing "XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference"

21 / 21 papers shown

Title
Benchmarking Ultra-Low-Power $μ$ NPUs Josh Millar Yushan Huang Sarab Sethi Hamed Haddadi Anil Madhavapeddy BDL 56 0 0 28 Mar 2025
On Space Folds of ReLU Neural Networks Michal Lewandowski Hamid Eghbalzadeh Bernhard Heinzl Raphael Pisoni Bernhard A.Moser MLT 87 1 0 17 Feb 2025
Energy-frugal and Interpretable AI Hardware Design using Learning Automata R. Shafik Tousif Rahman A. Wheeldon Ole-Christoffer Granmo Alex Yakovlev 12 0 0 19 May 2023
Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC with 2-to-8b DNN Acceleration and 30%-Boost Adaptive Body Biasing Francesco Conti G. Paulin Angelo Garofalo D. Rossi Alfio Di Mauro Georg Rutishauser G. Ottavi M. Eggiman Hayate Okuhara Luca Benini 22 14 0 15 May 2023
Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inference Jiechen Chen N. Skatchkovsky Osvaldo Simeone 36 36 0 13 Jun 2022
Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors Francesco Daghero Chenhao Xie Daniele Jahier Pagliari Alessio Burrello Marco Castellano Luca Gandolfi A. Calimera Enrico Macii M. Poncino BDL MQ 24 13 0 25 May 2022
Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference G. Paulin Francesco Conti Lukas Cavigelli Luca Benini 24 8 0 14 Feb 2022
HEROv2: Full-Stack Open-Source Research Platform for Heterogeneous Computing Andreas Kurth Björn Forsberg Luca Benini 19 15 0 11 Jan 2022
Towards Homomorphic Inference Beyond the Edge Salonik Resch Z. Chowdhury Husrev Cilasun Masoud Zabihi Zhengyang Zhao Jianping Wang S. Sapatnekar Ulya R. Karpuzcu 13 1 0 10 Dec 2021
Quantization Backdoors to Deep Learning Commercial Frameworks Hua Ma Huming Qiu Yansong Gao Zhi-Li Zhang A. Abuadbba Minhui Xue Anmin Fu Jiliang Zhang S. Al-Sarawi Derek Abbott MQ 38 19 0 20 Aug 2021
Quantum Annealing Formulation for Binary Neural Networks Michele Sasdelli Tat-Jun Chin MQ 27 16 0 05 Jul 2021
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things Huming Qiu Hua Ma Zhi-Li Zhang Yifeng Zheng Anmin Fu Pan Zhou Yansong Gao Derek Abbott S. Al-Sarawi MQ 19 9 0 09 May 2021
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer Phuoc Pham J. Abraham Jaeyong Chung MQ 37 11 0 01 Apr 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 Muhammad Shafique 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 19 9 0 17 Jul 2020
Synaptic Metaplasticity in Binarized Neural Networks Axel Laborieux M. Ernoult T. Hirtzlin D. Querlioz CLL 24 62 0 07 Mar 2020
Stream Semantic Registers: A Lightweight RISC-V ISA Extension Achieving Full Compute Utilization in Single-Issue Cores Fabian Schuiki Florian Zaruba Torsten Hoefler Luca Benini 15 36 0 19 Nov 2019
Optimally Scheduling CNN Convolutions for Efficient Memory Access Arthur Stoutchinin Francesco Conti Luca Benini 33 43 0 04 Feb 2019
Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA Cheng Fu Shilin Zhu Hao Su Ching-En Lee Jishen Zhao MQ 17 31 0 04 Oct 2018
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence Jinglan Liu Jiaxin Zhang Yukun Ding Xiaowei Xu Meng Jiang Yiyu Shi 36 4 0 26 Feb 2018
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 337 1,049 0 10 Feb 2017