Hardware-Aware Machine Learning: Modeling and Optimization

14 September 2018

Papers citing "Hardware-Aware Machine Learning: Modeling and Optimization"

7 / 7 papers shown

Title
QADAM: Quantization-Aware DNN Accelerator Modeling for Pareto-Optimality A. Inci Siri Garudanagiri Virupaksha Aman Jain Venkata Vivek Thallam Ruizhou Ding Diana Marculescu MQ 38 2 0 20 May 2022
FLASH: Fast Neural Architecture Search with Hardware Optimization Guihong Li Sumit K. Mandal Ümit Y. Ogras R. Marculescu 27 20 0 01 Aug 2021
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks Fuxun Yu Dimitrios Stamoulis Di Wang Dimitrios Lymberopoulos Xiang Chen 3DV 22 1 0 22 Nov 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights Shail Dave Riyadh Baghdadi Tony Nowatzki Sasikanth Avancha Aviral Shrivastava Baoxin Li 59 81 0 02 Jul 2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 3DPC MedIm 24 52 0 08 May 2020
On-Device Machine Learning: An Algorithms and Learning Theory Perspective Sauptik Dhar Junyao Guo Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 22 141 0 02 Nov 2019
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation Xiaoliang Dai Peizhao Zhang Bichen Wu Hongxu Yin Fei Sun ... Yiming Wu Yangqing Jia Peter Vajda M. Uyttendaele N. Jha 22 272 0 21 Dec 2018