About the event
Electronic systems experience a major shift in their form factor every 10 to 15 years, as evidenced by the popularity of heterogeneous mobile systems in the last decade. Mobile systems, especially smartphones, are making a profound impact on multiple areas of human life including communication, education, and health. In spite of their impressive performance, mobile systems suffer from thermal and power constraints that limit their performance capabilities. To manage these constraints optimally, there is a strong need for a formal analysis of the power-temperature dynamics in mobile devices. In the first part of this talk, I will present our approach to model the power-temperature dynamics in multiprocessor systems and demonstrate its accuracy on the Odroid-XU3 platform.
In the second part of the talk, I will focus on wearable internet of things devices, the next big evolution in computing systems. We will start this part by describing the technical and adaptation challenges faced by wearable devices before they are widely adopted. Then, I will present our solutions towards solving the challenges faced by wearable devices. First, I will present our open-source hardware/software platform for wearable health monitoring. The platform uses flexible hybrid electronics to enable devices that conform to the shape of the user’s body. Then, I will describe an algorithm to enable recharge-free operation of wearable devices that harvest energy from the environment. After that, I will present a hardware accelerator and an online learning algorithm for the human activity recognition application. I will conclude the talk with future directions for research in heterogeneous mobile systems, machine learning for EDA, energy-efficient wearable devices, and health monitoring applications.
Ganapati Bhat is a Ph.D. candidate in Computer Engineering at the School of Electrical, Computer and Energy Engineering at Arizona State University. He received his B.Tech degree in Electronics and Communication Engineering from the Indian Institute of Technology (ISM), Dhanbad, India in 2012. From 2012 to 2014, he worked as a software engineer at Samsung Research and Development Institute, Bangalore, India. His current research interests include wearable IoT devices, health monitoring, dynamic thermal and power management in heterogeneous mobile devices, and flexible hybrid electronics.
Ganapati received the 2019 Best Paper Award at CASES: International Conference on Compilers, Architecture, and Synthesis for Embedded Systems during the Embedded Systems Week. His research and mentorship efforts have also been recognized with the ASU Graduate and Professional Student Association Outstanding Research Award and Outstanding Mentorship Award, respectively.