Joint Mathematics/Computer Science Institute

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.
Related Programs

Office of Science Financial Assistance Program

Department of Energy


Agency: Department of Energy

Office: Chicago Service Center

Estimated Funding: Not Available


Who's Eligible


Relevant Nonprofit Program Categories



Obtain Full Opportunity Text:
Click
here to view the Opportunity

Additional Information of Eligibility:
Not Available

Full Opportunity Web Address:
https://e-center.doe.gov/iips/faopor.nsf/UNID/A0FBFC22386E266B852575AE005586BC?OpenDocument

Contact:
using thislinkiips_helpdesk@e-center.doe.govLori JerniganLori.Jernigan@science.doe.gov

Agency Email Description:
If you have any problems linking to the funding opportunity please contact the IIPS HelpDesk

Agency Email:
iips_helpdesk@e-center.doe.gov

Date Posted:
2009-05-06

Application Due Date:
2009-06-05

Archive Date:
2010-05-06



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