Title: Scientific Big Data: Challenges and Opportunities
Speaker: Prabhat, National Energy Research Scientific Computing Center (NERSC)
Abstract:
Lawrence Berkeley National Lab and NERSC are at the frontier of
scientific research. Historically, NERSC has provided leadership
computing for the computational science community, but we now find
ourselves tackling Big Data problems from an array of observational and
experimental sources. In this talk, I will review the landscape of
Scientific Big Data problems at all scales, spanning astronomy,
cosmology, climate, neuroscience, bioimaging, genomics, material science
and subatomic physics. I will present a list of ‘Top 10 Data Analytics’
problems from these domains, and highlight NERSC’s current Data
Analytics strategy and hardware/software resources. I will highlight
opportunities for engaging with NERSC, Berkeley Lab and the scientific
enterprise.
Bio:
Prabhat leads the Data and Analytics Services team at the National
Energy Research Scientific Computing Center (NERSC). His current
research interests include scientific data management, parallel I/O,
high performance computing and scientific visualization. He is also
interested in applied statistics, machine learning, computer graphics
and computer vision. Prabhat received an ScM in Computer Science from
Brown University (2001) and a B.Tech in Computer Science and Engineering
from IIT-Delhi (1999). He is currently pursuing a PhD in the Earth and
Planetary Sciences Department at U.C. Berkeley.