Assessment and Mitigation of Radiation‐induced Soft Errors in Deep Neural Networks Running in Resource‐constrained IoT Devices
ID: Tut-06
Description
The lack of fast and accurate evaluation of performance, accuracy, and reliability is a major design flow bottleneck currently faced by software engineers and IoT designers. This tutorial will provide the academic and industrial research and engineering community with an overview of techniques and a cross-layer approach that enables a fast evaluation of the soft error reliability of different IoT systems, considering different processors, deep neural network (DNN) inference models, and datasets. We will discuss the key challenges, benefits, and impediments of assessing and mitigating the soft error reliability of IoT systems, considering different levels of abstraction, varying from the use of virtual platforms to real neutron radiation experiments. The tutorial will also include a large range of soft error mitigation approaches, ranging from design to lightweight software techniques. To illustrate the relevance of each soft error assessment and mitigation approach, case studies covering safety-critical systems and resource-constraint IoT devices, applications, libraries/APIs, and DNNs characteristics will be discussed. This tutorial will also present a framework that supports fast and early soft error assessment, diagnosis, and susceptibility reduction evaluation by applying different mitigation techniques and how it could be integrated into future digital engineering to shorten the product development of reliable IoT systems.
If you have any questions, please contact Dr. Ricardo Reis: reis@inf.ufrgs.br
Chairs
Luciano Ost, Loughborough University, UK
Luciano Ost is currently an Associate Professor in Embedded Systems at Loughborough University’s Wolfson School - UK. He received his PhD degree in Computer Science from PUCRS, Brazil, in 2010. During his PhD, Dr Ost worked as an invited researcher at the Microelectronic Systems Institute of the Technische Universitaet Darmstadt (from 2007 to 2008) and at the University of York (October 2009). After completing his doctorate, he worked as a research assistant (2 years) and then as an assistant professor (2 years) at the University of Montpellier II in France. He has co-authored and authored two books and more than 90 papers. His research is devoted to advancing hardware and software architectures to improve life-critical and multiprocessing embedded systems' performance, security, and reliability. Dr Ost presented two tutorials (i.e., IEEE ICECS 2021 and ISCAS 2022). He also delivered invited talks and keynotes on various research topics not only at universities (e.g., Berkeley 2018, University of York 2021) but also at Industrial (e.g., Arm Research Summit 2018), research conferences (e.g., International Embedded Systems Symposium 2019) and Webinars.
Ricardo Reis, Instituto de Informática, UFRGS, Brazil
Ricardo Reis received a Bachelor degree in EE from Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil (1978), and a Ph.D. degree in Microelectronics from the National Polytechnic Institute of Grenoble (INPG), France (1983). Doctor Honoris Causa by the University of Montpellier (2016). He is a full professor at UFRGS. His main research includes physical design automation, design methodologies, and fault tolerant systems. He has more than 750 publications including books, journals and conference proceedings. He received the 2015 IEEE CASS Meritorious Service Award. He was vice-president of CASS for 2 terms (2008/2011). He is a founder of several events like SBCCI and LASCAS (CASS R9 Flagship Conference). He was General or Program Chair of several conferences like IEEE ISVLSI, SBCCI, IFIP VLSI-SoC, ICECS, PATMOS. Ricardo was the Chair of the IFIP/IEEE VLSI-SoC SC, vice-chair of the IFIP WG10.5 and he was Chair of IFIP TC10. In 2002 he received the Researcher of the Year Award in the state of Rio Grande do Sul. He is a founding member of the SBC (Brazilian Computer Society) and also founding member of SBMicro (Brazilian Microelectronics Society). He was member of CASS DLP Program (2014/2015), and he has done more than 80 invited talks in international conferences. Member of IEEE CASS BoG and IEEE CEDA BoG. Member of the IEEE IoT TC. IFIP Fellow. He received the 2022 ACM/ISPD Lifetime Achievement Award and the 2023 IEEE CASS John Choma Education Award.
