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Manish Parashar is Distinguished
Professor of Computer Science at Rutgers University. He is
also the founding Director of the Rutgers Discovery Informatics
Institute (RDI2). His research interests are in the broad
areas of Parallel and Distributed Computing and Computational
and Data-Enabled Science and Engineering. 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 has also received a number of awards and is Fellow
of AAAS, Fellow of IEEE/IEEE Computer Society and ACM Distinguished
Scientist.
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Title: Big Data
Challenges in Simulation-based Science
Abstract: Data-related
challenges are quickly dominating computational and data-enabled
sciences, and are limiting the potential impact of scientific
applications enabled by current and emerging extreme scale,
high-performance computing environments. These data-intensive
application workflows involve dynamic coordination, interactions
and data coupling between multiple application processes that
run at scale on different resources, and with services for
monitoring, analysis and visualization and archiving, and
present challenges due to increasing data volumes and complex
data-coupling patterns, system energy constraints, increasing
failure rates, etc. In this talk I will explore data grand
challenges in simulation-based science and investigate how
solutions based on data sharing abstractions, 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 extreme scales.
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