Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices

10 July 2018

Papers citing "Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices"

9 / 9 papers shown

Title
NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks Huihong Shi Haoran You Yang Katie Zhao Zhongfeng Wang Yingyan Lin 56 7 0 24 Oct 2022
A Dense Tensor Accelerator with Data Exchange Mesh for DNN and Vision Workloads Yu-Sheng Lin Wei-Chao Chen Shao-Yi Chien 12 1 0 25 Nov 2021
Discovering Multi-Hardware Mobile Models via Architecture Search Grace Chu Okan Arikan Gabriel Bender Weijun Wang Achille Brighton Pieter-Jan Kindermans Hanxiao Liu Berkin Akin Suyog Gupta Andrew G. Howard MQ 18 16 0 18 Aug 2020
Diverse Knowledge Distillation (DKD): A Solution for Improving The Robustness of Ensemble Models Against Adversarial Attacks Ali Mirzaeian Jana Kosecka Houman Homayoun Tinoosh Mohsening Avesta Sasan FedML AAML 20 3 0 26 Jun 2020
A flexible FPGA accelerator for convolutional neural networks Kingshuk Majumder Uday Bondhugula 17 5 0 16 Dec 2019
NESTA: Hamming Weight Compression-Based Neural Proc. Engine Ali Mirzaeian Houman Homayoun Avesta Sasan 7 11 0 01 Oct 2019
Neural Heterogeneous Scheduler Tegg Taekyong Sung Valliappa Chockalingam Alex Yahja Bo Ryu 11 3 0 09 Jun 2019
Stripe: Tensor Compilation via the Nested Polyhedral Model Tim Zerrell J. Bruestle 15 32 0 14 Mar 2019
Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach Using MAESTRO Hyoukjun Kwon Prasanth Chatarasi Michael Pellauer A. Parashar Vivek Sarkar T. Krishna 17 10 0 04 May 2018