CERN Computing Colloquium

The Principals and Practice of Distributed High Throughput Computing

by Dr. Miron Livny (University of Wisconsin-Madison)

31-3-004 - IT Amphitheatre (CERN)

31-3-004 - IT Amphitheatre


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The potential of Distributed Processing Systems to deliver computing capabilities with qualities ranging from high availability and reliability to easy expansion in functionality and capacity were recognized and formalized in the 1970’s. For more three decade these principals Distributed Computing guided the development of the HTCondor resource and job management system. The widely adopted suite of software tools offered by HTCondor are based on novel distributed computing technologies and are driven by the evolving needs of High Throughput scientific applications. We will review the principals that underpin our work, the distributed computing frameworks and technologies we developed and the lessons we learned from delivering effective and dependable software tools in an ever changing landscape computing technologies and needs that range today from a desktop computer to tens of thousands of cores offered by commercial clouds.

About the speaker

Miron Livny received a B.Sc. degree in Physics and Mathematics in 1975 from the Hebrew University and M.Sc. and Ph.D. degrees in Computer Science from the Weizmann Institute of Science in 1978 and 1984, respectively. Since 1983 he has been on the Computer Sciences Department faculty at the University of Wisconsin-Madison, where he is currently a Professor of Computer Sciences, the director of the Center for High Throughput Computing, is leading the HTCondor project and serves as the principal investigator and technical director of the Open Science Grid (OSG). He is a member of the scientific leadership team of the Morgridge Institute of Research where he is leading the Software Assurance Market Place (SWAMP) project and is serving as the Chief Technology Officer of the Wisconsin Institutes of Discovery.

Dr. Livny's research focuses on distributed processing and data management systems and involves close collaboration with researchers from a wide spectrum of disciplines. He pioneered the area of High Throughput Computing (HTC) and developed frameworks and software tools that have been widely adopted by academic and commercial organizations around the world.

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