How to Reach Real-Time AI on Consumer Devices? Solutions for Programmable and Custom Architectures

21 June 2021

Papers citing "How to Reach Real-Time AI on Consumer Devices? Solutions for Programmable and Custom Architectures"

7 / 7 papers shown

Title
ArrayFlex: A Systolic Array Architecture with Configurable Transparent Pipelining C. Peltekis D. Filippas G. Dimitrakopoulos C. Nicopoulos D. Pnevmatikatos 24 5 0 22 Nov 2022
FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation Ahmad Shawahna S. M. Sait A. El-Maleh Irfan Ahmad MQ 20 7 0 22 Mar 2022
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation Ilias Leontiadis Stefanos Laskaridis Stylianos I. Venieris Nicholas D. Lane 65 29 0 02 Feb 2021
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 191 1,032 0 06 Mar 2020
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices Byung Hoon Ahn Jinwon Lee J. Lin Hsin-Pai Cheng Jilei Hou H. Esmaeilzadeh 76 55 0 04 Mar 2020
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang Andrew G. Howard Bo Chen Xiao Zhang Alec Go Mark Sandler Vivienne Sze Hartwig Adam 90 516 0 09 Apr 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,330 0 05 Nov 2016