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Berkeley Lab-led Collaborations Honored for HPC Innovation Excellence

January 8, 2018


Two Berkeley Lab-led projects—Celeste and Galactos—were honored with Hyperion Research’s 2017 HPC Innovation Excellence Award for "the outstanding application of HPC for business and scientific achievements." According to Hyperion, the awards are designed to showcase return on investment and success stories involving HPC; to help other users better understand the benefits of adopting HPC; and to help justify HPC investments, including for small and medium-size enterprises.

Celeste: A New Model for Cataloging the Universe. This research collaboration of astrophysicists, statisticians and computer scientists from UC Berkeley, Berkeley Lab, MIT, Julia Computing and NERSC developed Celeste, a statistical analysis model designed to dramatically speed up one of modern astronomy’s most time-tested tools: Sky surveys. The goal of the project is to create highly scalable inference methods for extracting a unified catalog of objects in the visible universe from all available astronomy data.

The Hyperion award was presented to the Celeste team during ISC 2017: Jeff Regier, Kiran Pamnany, Keno Fischer, Andreas Noack, Max Lam, Jarrett Revels, Steve Howard, Ryan Giordano, David Paul, David Schlegel, Jon McAuliffe, Alan Edelman, Viral Shah, Rollin Thomas and Prabhat.

Galactos Project Solves One of Cosmology’s Hardest Challenges. Cosmologists and astronomers have wanted to perform the 3-point computation for a long time but could not do so because they did not have access to scalable methods and highly optimized calculations that they could apply to datasets. In 2017, the Galactos project—which teams researchers from Harvard University with the Big Data Center collaboration involving NERSC, Berkeley Lab and Intel—made a major breakthrough in successfully running the 3-point correlation calculation on the Outer Rim, the largest known simulated galaxy dataset that contains information for two billion galaxies.

The Hyperion award was presented to the Galactos team during SC17: Brian Friesen, Mostofa Patwary, Brian Austin, Nadathur Satish, Zachary Slepian, Narayanan Sundaram, Debbie Bard, Daniel Eisenstein, Jack Deslippe, Pradeep Dubey and Prabhat.

About Computing Sciences at Berkeley Lab

The Lawrence Berkeley National Laboratory (Berkeley Lab) Computing Sciences organization provides the computing and networking resources and expertise critical to advancing the Department of Energy's research missions: developing new energy sources, improving energy efficiency, developing new materials and increasing our understanding of ourselves, our world and our universe.

ESnet, the Energy Sciences Network, provides the high-bandwidth, reliable connections that link scientists at 40 DOE research sites to each other and to experimental facilities and supercomputing centers around the country. The National Energy Research Scientific Computing Center (NERSC) powers the discoveries of 6,000 scientists at national laboratories and universities, including those at Berkeley Lab's Computational Research Division (CRD). CRD conducts research and development in mathematical modeling and simulation, algorithm design, data storage, management and analysis, computer system architecture and high-performance software implementation. NERSC and ESnet are DOE Office of Science User Facilities.

Lawrence Berkeley National Laboratory addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the DOE’s Office of Science.

DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit science.energy.gov.