Understanding the Impact of Precision Quantization on the Accuracy and
Energy of Neural Networks

Understanding the Impact of Precision Quantization on the Accuracy and Energy of Neural Networks

12 December 2016

Nicholas Anthony

Papers citing "Understanding the Impact of Precision Quantization on the Accuracy and Energy of Neural Networks"

18 / 18 papers shown

Title
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI Arya Tschand Arun Tejusve Raghunath Rajan S. Idgunji Anirban Ghosh J. Holleman ... Rowan Taubitz Sean Zhan Scott Wasson David Kanter Vijay Janapa Reddi 70 3 0 15 Oct 2024
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
RecLight: A Recurrent Neural Network Accelerator with Integrated Silicon Photonics Febin P. Sunny Mahdi Nikdast S. Pasricha 43 17 0 31 Aug 2022
BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge Abdelrahman I. Hosny Marina Neseem Sherief Reda MQ 54 4 0 29 Oct 2021
How Low Can We Go: Trading Memory for Error in Low-Precision Training Chengrun Yang Ziyang Wu Jerry Chee Christopher De Sa Madeleine Udell 25 2 0 17 Jun 2021
ALERT: Accurate Learning for Energy and Timeliness Chengcheng Wan M. Santriaji E. Rogers H. Hoffmann Michael Maire Shan Lu AI4CE 48 40 0 31 Oct 2019
Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution Filip Badáň Lukás Sekanina 27 4 0 15 Oct 2019
A Resource-Efficient Embedded Iris Recognition System Using Fully Convolutional Networks Hokchhay Tann Heng Zhao Sherief Reda 19 10 0 08 Sep 2019
Deep Learning Training on the Edge with Low-Precision Posits H. F. Langroudi Zachariah Carmichael Dhireesha Kudithipudi MQ 27 14 0 30 Jul 2019
Deep Positron: A Deep Neural Network Using the Posit Number System Zachariah Carmichael Seyed Hamed Fatemi Langroudi Char Khazanov Jeffrey Lillie J. Gustafson Dhireesha Kudithipudi MQ 27 96 0 05 Dec 2018
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams Lukas Cavigelli Luca Benini 32 26 0 15 Aug 2018
Synergy: A HW/SW Framework for High Throughput CNNs on Embedded Heterogeneous SoC G. Zhong Akshat Dubey Cheng Tan T. Mitra 31 68 0 28 Mar 2018
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions Stylianos I. Venieris Alexandros Kouris C. Bouganis 24 184 0 15 Mar 2018
ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Neural Network Accelerators Jeff Zhang Kartheek Rangineni Zahra Ghodsi S. Garg 36 118 0 11 Feb 2018
BitNet: Bit-Regularized Deep Neural Networks Aswin Raghavan Mohamed R. Amer S. Chai Graham Taylor MQ 43 10 0 16 Aug 2017
Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural Networks Hokchhay Tann S. Hashemi Iris Bahar Sherief Reda MQ 35 74 0 11 May 2017
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data Lukas Cavigelli Philippe Degen Luca Benini BDL 42 51 0 14 Apr 2017
Runtime Configurable Deep Neural Networks for Energy-Accuracy Trade-off Hokchhay Tann S. Hashemi R. I. Bahar Sherief Reda 34 72 0 19 Jul 2016