Towards Efficient In-memory Computing Hardware for Quantized Neural Networks: State-of-the-art, Open Challenges and Perspectives

8 July 2023

Papers citing "Towards Efficient In-memory Computing Hardware for Quantized Neural Networks: State-of-the-art, Open Challenges and Perspectives"

16 / 16 papers shown

Title
A Co-design view of Compute in-Memory with Non-Volatile Elements for Neural Networks W. Haensch A. Raghunathan Kaushik Roy B. Chakrabarti C. Phatak Cheng Wang Supratik Guha 44 2 0 03 Jun 2022
FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks Shien Zhu Luan H. K. Duong Hui Chen Di Liu Weichen Liu MQ 39 5 0 19 Jan 2022
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks Gokul Krishnan Sumit K. Mandal Manvitha Pannala C. Chakrabarti Jae-sun Seo Ümit Y. Ogras Yu Cao 40 41 0 14 Aug 2021
Layer-specific Optimization for Mixed Data Flow with Mixed Precision in FPGA Design for CNN-based Object Detectors Duy-Thanh Nguyen Hyun Kim Hyuk-Jae Lee MQ 27 60 0 03 Sep 2020
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs H. Habi Roy H. Jennings Arnon Netzer MQ 45 65 0 20 Jul 2020
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs Jun Chen Lu Liu Yong Liu Xianfang Zeng MQ 58 26 0 06 Apr 2020
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM Aayush Ankit I. E. Hajj S. R. Chalamalasetti S. Agarwal M. Marinella M. Foltin J. Strachan D. Milojicic Wen-mei W. Hwu Kaushik Roy 26 67 0 24 Dec 2019
Quantization Networks Jiwei Yang Xu Shen Jun Xing Xinmei Tian Houqiang Li Bing Deng Jianqiang Huang Xiansheng Hua MQ 56 342 0 21 Nov 2019
High-Throughput In-Memory Computing for Binary Deep Neural Networks with Monolithically Integrated RRAM and 90nm CMOS Shihui Yin Xiaoyu Sun Shimeng Yu Jae-sun Seo MQ 24 105 0 16 Sep 2019
Additive Noise Annealing and Approximation Properties of Quantized Neural Networks Matteo Spallanzani Lukas Cavigelli G. P. Leonardi Marko Bertogna Luca Benini 29 15 0 24 May 2019
Low-complexity Recurrent Neural Network-based Polar Decoder with Weight Quantization Mechanism Chieh-Fang Teng Chengyang Wu A. K. Ho A. Wu 28 57 0 29 Oct 2018
ProxQuant: Quantized Neural Networks via Proximal Operators Yu Bai Yu Wang Edo Liberty MQ 45 117 0 01 Oct 2018
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 54 232 0 13 Aug 2018
Restructuring Batch Normalization to Accelerate CNN Training Wonkyung Jung Daejin Jung and Byeongho Kim Sunjung Lee Wonjong Rhee Jung Ho Ahn 30 62 0 04 Jul 2018
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 139 2,976 0 02 Nov 2015
Compressing Deep Convolutional Networks using Vector Quantization Yunchao Gong Liu Liu Ming Yang Lubomir D. Bourdev MQ 90 1,168 0 18 Dec 2014