In this video from the Intel User Forum at SC18, Prabhat from NERSC presents: Performance and Productivity in the Big Data Era.
At the National Energy Research Scientific Computing Center (NERSC), HPC and AI converge and advance with Intel technologies. Explore how technologies, trends, and performance optimizations are applied to applications such as CosmoFlow using TensorFlow* to help us better understand the universe.
Prabhat leads the Data and Analytics Services team at NERSC. In this role, he is responsible for deploying the Big Data stack on NERSC platforms, spanning capability areas in Data Analytics, Management, Workflows, Visualization, Transfer and Access. Prabhat is the Director of the Big Data Center at NERSC, which is enabling capability Data applications to run on the Cori supercomputer. Prabhat’s current research interests span Deep Learning, Machine Learning and Applied Statistics. 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.
