Accelerator-aware Neural Network Design using AutoML

5 March 2020

Papers citing "Accelerator-aware Neural Network Design using AutoML"

19 / 19 papers shown

Title
Evaluating Pre-trained Convolutional Neural Networks and Foundation Models as Feature Extractors for Content-based Medical Image Retrieval Amirreza Mahbod Nematollah Saeidi Sepideh Hatamikia Ramona Woitek VLM MedIm 37 2 0 14 Sep 2024
Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS Afzal Ahmad Linfeng Du Zhiyao Xie Wei Zhang 26 0 0 09 Apr 2024
Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models Pengfei Li Jianyi Yang M. A. Islam Shaolei Ren 103 124 0 06 Apr 2023
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices Yuji Chai Devashree Tripathy Chu Zhou Dibakar Gope Igor Fedorov Ramon Matas David Brooks Gu-Yeon Wei P. Whatmough GNN 42 4 0 26 Jan 2023
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration Deokki Hong Kanghyun Choi Hyeyoon Lee Joonsang Yu Noseong Park Youngsok Kim Jinho Lee 21 3 0 23 Jan 2023
Tech Report: One-stage Lightweight Object Detectors Deokki Hong ObjD 23 0 0 31 Oct 2022
Hardware-aware mobile building block evaluation for computer vision Maxim Bonnaerens Matthias Anton Freiberger Marian Verhelst J. Dambre 30 1 0 26 Aug 2022
Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search Taehyeon Kim Heesoo Myeong Se-Young Yun 42 2 0 27 Jun 2022
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
QAPPA: Quantization-Aware Power, Performance, and Area Modeling of DNN Accelerators A. Inci Siri Garudanagiri Virupaksha Aman Jain Venkata Vivek Thallam Ruizhou Ding Diana Marculescu MQ 20 5 0 17 May 2022
Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs Berkin Akin Suyog Gupta Yun Long Anton Spiridonov Zhuo Wang Marie White Haonan Xu Ping Zhou Yanqi Zhou 24 9 0 09 Apr 2022
Data-Driven Offline Optimization For Architecting Hardware Accelerators Aviral Kumar Amir Yazdanbakhsh Milad Hashemi Kevin Swersky Sergey Levine 34 36 0 20 Oct 2021
Deep Learning on Edge TPUs A. Kist Andreas M Kist 43 17 0 31 Aug 2021
Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge Vinod Ganesan Pratyush Kumar 45 2 0 25 Aug 2021
Rethinking Co-design of Neural Architectures and Hardware Accelerators Yanqi Zhou Xuanyi Dong Berkin Akin Mingxing Tan Daiyi Peng Tianjian Meng Amir Yazdanbakhsh Da Huang Ravi Narayanaswami James Laudon 71 26 0 17 Feb 2021
A Comprehensive Survey on Hardware-Aware Neural Architecture Search Hadjer Benmeziane Kaoutar El Maghraoui Hamza Ouarnoughi Smail Niar Martin Wistuba Naigang Wang 39 98 0 22 Jan 2021
Nanopore Base Calling on the Edge Peter Perešíni V. Boža Broňa Brejová T. Vinař 19 38 0 09 Nov 2020
Resource-Aware Pareto-Optimal Automated Machine Learning Platform Yao Yang Andrew Nam M. Nasr-Azadani Teresa Tung 19 6 0 30 Oct 2020
S3NAS: Fast NPU-aware Neural Architecture Search Methodology Jaeseong Lee Duseok Kang S. Ha 35 10 0 04 Sep 2020