Speaker: Pat Pannuto

University of California, San Diego

Hosted by Assistant Professor Josiah Hester

Beyond the Internet of Things that is emerging today lies the Internet of

Everything--the vision of ubiquitous and pervasive computing, of a digital

sensory layer enveloping the world. Realizing this vision relies on expanding

our capability to place computation in the wild, to then network these

sensors, to manage them, and most challengingly, to power them.

This talk is about a suite of solutions working in concert to usher in the

nanopower computing class. We will discuss architectural innovations that

enable power oblivious operation and modular design for millimeter-scale

devices. Next, we will look at how to bring multiprocessing, safety, and

resource isolation to the deeply embedded computing class. Then, we will

consider the some of services, in particular localization, necessary to make

pervasive computers useful and viable. Finally, we will look toward the

future, with an eye towards what technical challenges remain and how our

interactions with computational infrastructure will change as we realize the

ubiquitous computing vision.

Pat Pannuto is currently completing his PhD in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley and will be joining the Computer Science Department at the University of California, San Diego this winter. He received his MSE in Computer Science and BSE in Computer Engineering from the University of Michigan. Pat's research is in the broad area of networked embedded systems, with contributions to computer architecture, wireless communications, mobile computing, operating systems, and development engineering. Pat's work has been recognized as a Top Pick in Computer Architecture and selected as a Best Paper Finalist at IPSN, and has been awarded NSF, NDSEG, and Qualcomm Innovation fellowships. Pat has also received teaching awards from the Computer Science Department, the College of Engineering, and the Rackham Graduate School at the University of Michigan.