Target group: Master level and PhD students in computer science, employees at the department, external from industry
Professional (academic) contact person is Associate Professor Dilip K. Prasad.
Date: Monday November 11th, 2019 13:15 – 14:00
Place: Teknologibygget Auditorium, 1.023, Campus Tromsø
Title: AI for Embedded/Mobile Platforms
Lecturer: Dr. Amit Kumar Singh, University of Essex, UK
Embedded/Mobile platforms based on multi-core chips are prevalent in several application domains, e.g. automotive, multimedia and cloud computing. These platforms are able to fulfil the ever-increasing performance requirements by exploiting the parallel processing capabilities of multi-core chips. However, efficient management of the chip resources is required during the systems’ design and operation due to several reasons such as to increase the operational time of battery-operated systems and improve thermal efficiency and reliability.
This talk will provide an overview of various resource management methodologies that perform either design-time and/or run-time optimizations. These optimizations employ various principles. This talk will focus mainly the principles around Artificial Intelligence (AI). In particular, some recently proposed resource management methodologies that bring significant reduction in energy consumption and operating temperature will be covered in detail. It will also be shown that the methodologies are capable of handling dynamism in applications by considering their run-time aspects and provide timing guarantees. The current and upcoming trends will also be highlighted.
Dr. Amit Kumar Singh is a Lecturer (Assistant Professor) at University of Essex, UK. He received the B.Tech. degree in Electronics Engineering from Indian Institute of Technology (Indian School of Mines), Dhanbad, India, in 2006, and the Ph.D. degree from the School of Computer Engineering, Nanyang Technological University (NTU), Singapore, in 2013. He was with HCL Technologies, India for a year and half until 2008. He has a post-doctoral research experience for over five years at several reputed universities. His current research interests are system level design-time and run-time optimization of systems of various scales for performance, energy, temperature, reliability and security. He has published over 80 papers in reputed journals/conferences, and received several best paper awards, e.g. ICCES 2017, ISORC 2016 and PDP 2015. He has served on the TPC of IEEE/ACM conferences like NoCArc, DATE, CASES and CODES+ISSS.