FOR FURTHER INFORMATION CONTACT:
Karen Pao,
karen.pao@science.doe.gov, (301)
903-5384; and Osni Marques, oamarques@ascr.doe.gov, (301) 903-992 5.
The Office of Advanced Scientific Computing Research (ASCR) of the Office
of
Science
(SC), U. S. Department of Energy (DOE), hereby invites applications
for
research under a unified management structure to address key challenges
where
collaborative research in applied mathematics and computer science efforts
are
required to bridge the gap between large complex scientific applications
software and next-generation hardware.
The strategic vision for the Advanced Scientific Computing Research (ASCR)
program in the Department of Energy?s Office of Science includes a
portfolio of
high performance computing resources to enable DOE and the Nation?s world
leadership in areas of science important to the Department?s mission.
ASCR
plans to address these challenges through a balanced program that provides
DOE?s and the Nation?s scientists with high performance production and
leadership-class computing resources while fostering the architectural
development of the next generation of high end computer hardware and
supporting
software.
One key assumption that underpins the success of the ?petascale
to
extreme scale? plan is that the scientific software application-computer
hardware gaps expected to appear can be successfully addressed.
General-purpose, extreme scale computing systems are likely to be
technologically feasible within the next 10-15 years.
These systems could
contain between 10 million and 100 million processing elements or cores.
There
is widespread agreement that these systems will push the envelope of a
number
of important technologies, including processor architecture, scale of
multicore
integration (perhaps into the range of 1000 cores per chip or beyond),
power
management, and packaging.
Incremental or evolutionary advances of current
programming paradigms and strategies have little chance of providing the
functionality and utility needed to harness extreme scale computing for
scientific discovery and advances.
Transformational breakthroughs in
programming models, system software, and algorithms will be necessary to
enable
scientific discovery through simulation on these leadership computers.
This Funding Opportunity Announcement calls for innovative approaches that
integrate applied mathematics and computer science to develop the insights
and
tools that are required for computers at extreme scales to be effective
tools
for scientific discovery through simulation.
The activities supported by
this
Announcement may be a combination of basic research, creation of algorithms
for
advanced architectures, and demonstration of new mathematical, computer
science
and algorithmic concepts.
Conferences, ?summer schools?, or other similar
activities that explore, in a collaborative setting, the research and
utilization of the combination of applied mathematics and computer science
to
enable high-performance computing at the extreme scale may be considered.
Partnerships among universities, National Laboratories, and industry are
strongly encouraged.