Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point

31 January 2017

Papers citing "Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point"

7 / 7 papers shown

Title
Adaptive Block Floating-Point for Analog Deep Learning Hardware Ayon Basumallik D. Bunandar Nicholas Dronen Nicholas Harris Ludmila Levkova Calvin McCarter Lakshmi Nair David Walter David Widemann 9 6 0 12 May 2022
FlexBlock: A Flexible DNN Training Accelerator with Multi-Mode Block Floating Point Support Seock-Hwan Noh Jahyun Koo Seunghyun Lee Jongse Park Jaeha Kung AI4CE 16 17 0 13 Mar 2022
QPyTorch: A Low-Precision Arithmetic Simulation Framework Tianyi Zhang Zhiqiu Lin Guandao Yang Christopher De Sa MQ 13 64 0 09 Oct 2019
Optimizing Speech Recognition For The Edge Yuan Shangguan Jian Li Qiao Liang R. Álvarez Ian McGraw 14 64 0 26 Sep 2019
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks Simon Wiedemann H. Kirchhoffer Stefan Matlage Paul Haase Arturo Marbán ... Ahmed Osman D. Marpe H. Schwarz Thomas Wiegand Wojciech Samek 38 92 0 27 Jul 2019
Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design Zhourui Song Zhenyu Liu Dongsheng Wang 13 41 0 22 Sep 2017
BitNet: Bit-Regularized Deep Neural Networks Aswin Raghavan Mohamed R. Amer S. Chai Graham Taylor MQ 24 10 0 16 Aug 2017