Presenter: Pete Beckman, Argonne National Laboratory
Time: Thursday, November 15th, 10:30am-11:15am
Location: Exhibit Hall B
The number of network-connected devices (sensors, actuators, instruments, computers, and data stores) now substantially exceeds the number of humans on this planet. Billions of things that sense, think, and act are connected to a planet-spanning network of cloud and high-performance computing centers that contain more computers than the entire Internet did just a few years ago.
Parallel computation and machine learning are providing the basis for this new computing continuum that analyses data in-situ, and uses HPC to model, predict, and learn. This new paradigm is giving rise to intelligent cities, smart agriculture, and advanced manufacturing.
The Amazon Inc. DeepLens system is an example of this new model that links machine learning at the edge to the cloud. Another example is the Waggle Platform, developed at Argonne National Laboratory. The Array of Things project at the University of Chicago is deploying hundreds of Waggle-based nodes with advanced wireless sensors in Chicago and other cities. Each of the nodes support parallel edge computing.
This presentation will explore the computing continuum, and how artificial intelligence at the edge is now firmly connected to supercomputing.
More About the Speaker:
Pete Beckman is the co-director of the Northwestern University/Argonne Institute for Science and Engineering and is a recognized global expert in high-end computing systems. During the past 25 years, his research has been focused on software and architectures for large-scale parallel and distributed computing systems.
For the DOE’s Exascale Computing Project, Beckman leads the Argonne team focused on extreme-scale operating systems and run-time software. He is the founder and leader of the Waggle project for smart sensors and edge computing that is used by the Array of Things project.
Beckman also coordinates the collaborative technical research activities in extreme-scale computing between the US Department of Energy and Japan’s ministry of education, science, and technology and helps lead the BDEC (Big Data and Extreme Computing) series of international workshops.
Beckman leads the extreme computing research activities at Argonne National Laboratory. He received his PhD in computer science from Indiana University.