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SC20 Virtual Platform
Biography
Pete Beckman is a recognized global expert in high-end computing systems. During the past 30 years, his research has focused on software and architectures for large-scale parallel and distributed computing systems. For the DOE’s Exascale Computing Project, Beckman leads the Argo project focused on low-level resource management for the operating system and runtime. He is the founder and leader of Argonne’s Waggle project for artificial intelligence (AI) and edge computing. Beckman also co-directs the Northwestern University / Argonne Institute for Science and Engineering and leads the Sage project funded by the National Science Foundation to build a nationwide infrastructure for AI at the edge to support ecological research for the National Ecological Observatory Network and urban research for the Array of Things. Beckman also coordinates the collaborative technical research activities in extreme-scale computing between the U.S. Department of Energy and Japan’s ministry of education, science, and technology and helps lead the Big Data and Extreme Computing BDEC) series of international workshops. He also coordinates 5G wireless research activities at Argonne.

In previous positions, Beckman helped found Indiana University’s Extreme Computing Laboratory. He also founded the Linux cluster research team at Los Alamos National Laboratory and a Turbolinux-sponsored research laboratory that developed the world’s first dynamic provisioning system for cloud computing and HPC clusters. Beckman joined Argonne National Laboratory in 2002. As director of engineering and later chief architect for the TeraGrid, he designed and deployed the world’s most powerful Grid computing system for linking production high performance computing centers for the National Science Foundation. He served as director of the Argonne Leadership Computing Facility from 2008 to 2010. As a senior computer scientist at Argonne and senior fellow at Northwestern University, he leads diverse research teams to tackle challenges in large-scale, distributed computation, from the edge to the HPC center.
Presentations
SCinet
Workshop
Big Data
Data Analytics, Compression, and Management
Datacenter
Networks
Performance/Productivity Measurement and Evaluation
SCinet
Software-defined networking
W
SCinet
Workshop
Big Data
Data Analytics, Compression, and Management
Datacenter
Networks
Performance/Productivity Measurement and Evaluation
SCinet
Software-defined networking
W
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