Date(s) - 26 Mar 2014
1:00 PM - 2:30 PM
3043 ECpE Building Addition
Title: Big Data Challenges in Simulation-based Science
Speaker: Manish Parashar, Professor, Rutgers University
Abstract: Data-related challenges are quickly dominating computational and data-enabled sciences, and are limiting the potential impact of scientific application workflows enabled by current and emerging high-performance distributed computing environments. These data-intensive application workflows involve dynamic coordination, interactions and data-coupling between multiple application process that run at extreme scales on different high performance resources, and with services for monitoring, analysis and visualization and archiving. In this talk I will explore data grand challenges in simulation-based science application workflows and investigate how solutions based on managed data pipelines, in-memory data-staging, in-situ placement and execution, and in-transit data processing can be used to address these data challenges at petascale and beyond.
Speaker Bio: Manish Parashar is Professor of Electrical and Computer Engineering at Rutgers University. He is the founding Director of the Rutgers Discovery Informatics Institute (RDI2) and of the NSF Cloud and Autonomic Computing Center (CAC), and is Associate Director of the Rutgers Center for Information Assurance (RUCIA). Manish received a BE degree from Bombay University, India, and M.S. and Ph.D. degrees from Syracuse University. His research interests are in the broad areas of Parallel and Distributed Computing and Computational and Data-Enabled Science and Engineering. A key focus of his research is on addressing the complexity or large-scale systems and applications through programming abstractions and systems. Manish serves on the editorial boards and organizing committees of a large number of journals and international conferences and workshops, and has deployed several software systems that are widely used. He also has received numerous awards and is Fellow of AAAS, Fellow of IEEE/IEEE Computer Society, and Senior Member of ACM.
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