Intel® Parallel Computing Center at NERSC, Lawrence Berkeley National Laboratory

Principal Investigator:

Prabhat leads the Data and Analytics Services Group at NERSC. He is responsible for the big data software stack at NERSC, in this role, he tracks technologies spanning data analytics, management, workflows, transfer, portals/gateways and visualization. His personal research interests are in statistics, machine learning and computer vision. Prabhat has a B. Tech in Computer Science and Engineering from IIT Delhi, and received an Sc.M in Computer Science from Brown University. He is currently pursuing a PhD in Earth and Planetary Sciences from UC Berkeley.

Description:

The goal of the NERSC Big Data Center is to solve DOE’s leading data-intensive science problems at scale on Cori. We are interested in problems that involve management of O(100+) TB datasets, and analysis on O(100K+) cores. We will work with Intel staff to improve performance and scaling of the production data stack on Cori. We will enable peer Intel® Parallel Computing Center(s) (Intel® PCC) researchers to utilize (and extend) the production stack for their individual research, and team up with scientists to enable breakthrough science.

Publications:

• September 4, 2018, Old School + New School: Geometry, Physics and Machine Learning Take on Climate Research Data Challenges, Berkeley Lab
• May 9, 2018, Data Management at NERSC in the Era of Petascale Deep Learning, HPCwire
• January 4, 2018, Using TensorFlow* at NERSC, nersc.gov
• Brandon Cook, Charlene Yang, Thorsten Kurth, Jack Deslippe, June 28, 2018, CSB_Coo SPM(M|V) performance on Intel ® Xeon® and Intel® Xeon Phi™, IXPUG ISC Workshop 2018, Conference
• Thorsten Kurth, Balint Joo, June 28, 2018, AAMG Coarse Restrictor Performance Tuning, IXPUG ISC Workshop 2018, Conference
• Kathy Kincade, September 5, 2018, NERSC, Intel, Cray Harness the Power of Deep Learning to Better Understand the Universe, NERSC, Web Article
• Rob Farber, August 31, 2018, The Convergence of Big Data and Extreme-Scale HPC, HPCwire
• DOE/Lawrence Berkeley National Laboratory, September 5, 2018, Berkeley Lab, Intel, Cray harness power of deep learning to study the universe, AAAS
• Linda Barney, October 2, 2017, Galactos Project Solves One of Cosmology's Hardest Challenges, HPCWire
• Prabhat, September 26, 2017, Deep Learning for Science, ASCAC meeting
• Brian Friesen, Md. Mostofa Ali Patwary,Brian Austin, Nadathur Satish, Zachary Slepian, Narayanan Sundaram, Deborah Bard, Daniel J Eisenstein, Jack Deslippe, Pradeep Dubey, Prabhat, November 1, 2017, Galactos: Computing the Anisotropic 3-Point Correlation Function for 2 Billion Galaxies, Gordon Bell
• Linda Barney, August 17, 2017, Intel, NERSC and University Partners Launch New Big Data Center, HPCWire
• T. Kurth, W. Arndt, T.Barnes, B.Cook, J.Deslippe, D. Doerfler, B. Friesen, Y. He, T. Koskela, M. Lobet, T. Malas, L.Oliker, A. Ovsyannikov, S.Williams, W-S. Yang, Z.Zhano, June 22, 2017, Analyzing Performance of Selected NESAP Applications on the Cori HPC System, IXPUG
• Richard Gerber, June 19, 2017 National Energy Research Scientific Computing Center (NERSC): Richard Gerber, Senior Science Advisor and HPC Department Head, IXPUG
• Richard Gerber, June 22, 2017, High-Impact Science on Cori: A KNL Success Story, IXPUG
• Brandon Cook,Thorsten Kurth, Brian Austin, Samuel Williams, Jack Deslippe, June 22, 2017, Performance variability on the Intel® Xeon Phi™, IXPUG
• T.Koskela, J.Deslippe, June 22, 2017, Optimizing fusion PIC code performance at scale on Cori Phase 2, IXPUG
• Pradeep Dubey, September 23, 2017, SC17 Session Preview: Dr. Pradeep Dubey on AI & The Virtuous Cycle of Compute, Inside HPC
• Michael Feldman, August 30, 2017, Deep Learning Hits 15 Petaflops on Cori Supercomputer, Top500
• Rob Farber, August 28, 2017, NERSC Scales Scientific Deep Learning to 15 Petaflops, HPCWire
• Rob Farber, May 25, 2017, HPC Center NERSC Eases Path to Optimization at Scale, The Next Platform

Related Website:

• Nersc