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"Historically, high-performance computing advances have been largely dependent on concurrent advances in algorithms, software, architecture, and hardware that enable higher levels of floating-point performance for computational models. Advances today are also shaped by data-analysis pipelines, data architectures, and machine learning tools that manage large volumes of scientific and engineering data. We will examine some of the challenges involved with high performance computing and big data for scientific computing.

Topic  High Performance Computing and Big Data: Challenges for the Future (Poster)
Speaker Prof. Jack Dongarra
Distinguished Professor, Min H. Kao Department of Electrical Engineering & Computer Science
Director, Innovative Computing Laboratory
Tickle College of Engineering
The University of Tennessee, Knoxville
Date 30 September 2019 (Monday)
Time 11:00 a.m. - 12:00 noon
Venue Room PQ303
Medium English
Registration Link  - 
Registration deadline Seats are limited and registration is on a first-come, first-served basis.

About Speaker

Prof. Dongarra holds an appointment as University Distinguished Professor of Computer Science in the Computer Science Department at the University of Tennessee, has the position of a Distinguished Research Staff member in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL), Turing Fellow in the Computer Science and Mathematics Schools at the University of Manchester, and an Adjunct Professor in the Computer Science Department at Rice University.

Prof. Dongarra is a Fellow of the AAAS, ACM, IEEE, and SIAM and a foreign member of the Russian Academy of Sciences, a foreign member of the British Royal Society, and a member of the US National Academy of Engineering.