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Special Session: Reliability Analysis for ML/AI Hardware [article]

Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin
2021 arXiv   pre-print
The first section outlines the reliability issues in a commercial systolic array-based ML accelerator in the presence of faults engendering from device-level non-idealities in the DRAM.  ...  Ensuring the reliability and robustness of the underlying AI/ML hardware becomes our paramount importance. In this paper, we explore and evaluate the reliability of different AI/ML hardware.  ...  neural network accelerators.  ... 
arXiv:2103.12166v2 fatcat:eceha3a6ibgojeokkg5gm3zywq

2021 Index IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems Vol. 40

2021 IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TCAD Nov. 2021 2320-2330 RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbars.  ...  Wassal, A.G., +, TCAD Feb. 2021 315-325 RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbars.  ... 
doi:10.1109/tcad.2021.3136047 fatcat:ppooj4g65nc2zonj7szclerc2y

Intelligent Edge-Embedded Technologies for Digitising Industry [chapter]

Ovidiu Vermesan, Mario Diaz Nava
2022 Intelligent Edge-Embedded Technologies for Digitising Industry  
The "River Publishers Series in Communications and Networking" is a series of comprehensive academic and professional books which focus on communication and network systems.  ...  Topics range from the theory and use of systems involving all terminals, computers, and information processors to wired and wireless networks and network layouts, protocols, architectures, and implementations  ...  Acknowledgements Part of this work was partly funded by the German ministry of education and research (BMBF) under grant 16KIS1180K (FunKI) and 16KIS1012 (IRLG).  ... 
doi:10.13052/rp-9788770226103 fatcat:mgz277pmkbetvbpoaomoktzgzi

Dagstuhl Reports, Volume 9, Issue 4, April 2019, Complete Issue [article]

2019
Acknowledgements This activity has received funding from the Research Foundation Flanders (FWO) and the Austrian Science Fund (FWF) under the grant numbers G0F9117N and I3261-N36 "Quantitative X-ray tomography of  ...  The implementation of analog neural networks in a memristive crossbar faces several challenges.  ...  system with both in-memorylogic design and hardware driven neural network optimization algorithm; 2) end-to-end ReRAM crossbar based neuromorphic computing EDA tool powered by a robust neural network  ... 
doi:10.4230/dagrep.9.4 fatcat:7lr37ck6b5ekdogcndraqak7na