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DOE Advanced Scientific Computing Advisory Subcommittee (ASCAC) Report: Top Ten Exascale Research Challenges

Authors :
Peter M. Kogge
William Carlson
James H. Laros
Thomas Sterling
Clayton G. Webster
M. Harper Langston
Al Geist
Robert Ross
George Liang-Tai Chiu
James A. Ang
Keren Bergman
Dean Micron Klein
Richard Micron Murphy
Paul W. Coteus
Rick Stevens
Adolfy Hoisie
Laura Carrington
Jon Hiller
Vivek Sarkar
K. H. Kim
Robert Colwell
Robert Schreiber
Erik Debenedictus
Sven Leyffer
Gary Grider
Jeffrey Hittinger
Richard Lethin
Rud Haring
Jack Dongarra
Ron Brightwell
Stefan M. Wild
Robert F. Lucas
Jon Bashor
John Shalf
Shekhar Borkar
William J. Dally
Publication Year :
2014
Publisher :
Office of Scientific and Technical Information (OSTI), 2014.

Abstract

Exascale computing systems are essential for the scientific fields that will transform the 21st century global economy, including energy, biotechnology, nanotechnology, and materials science. Progress in these fields is predicated on the ability to perform advanced scientific and engineering simulations, and analyze the deluge of data. On July 29, 2013, ASCAC was charged by Patricia Dehmer, the Acting Director of the Office of Science, to assemble a subcommittee to provide advice on exascale computing. This subcommittee was directed to return a list of no more than ten technical approaches (hardware and software) that will enable the development of a system that achieves the Department's goals for exascale computing. Numerous reports over the past few years have documented the technical challenges and the non¬-viability of simply scaling existing computer designs to reach exascale. The technical challenges revolve around energy consumption, memory performance, resilience, extreme concurrency, and big data. Drawing from these reports and more recent experience, this ASCAC subcommittee has identified the top ten computing technology advancements that are critical to making a capable, economically viable, exascale system.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........f5c838fd56e2c16b6d786d02a931a606