Mathematics for Analysis of Petascale Data
For any questions relating to this announcemnt
please contact Dr. Alexandra
Landsberg, Applied Mathematics Program, Telephone:
(301) 903-8507, FAX:
(301)
903-7774, E-mail:
landsberg@ascr.doe.gov.
The Office of Advanced Scientific Computing Research (ASCR) of the Office
of
Science (SC), U. S. Department of Energy (DOE), hereby announces its
interest in
receiving grant applications for research addressing the mathematical
challenges involved in extracting insights from extremely large datasets
(?petascale data?) and investigating fundamental issues in finding key
features
and understanding the relationships between those features.
Petascale data may be produced by high-resolution simulations on massively
parallel computers in complex applications, such as climate modeling,
fusion,
and other large-scale science and engineering calculations.
They may also
result from experiments and observational studies, such as those in
high-energy
physics and cosmology.
The effective analysis of petascale data is often
challenged by some combination of its large-scale, distributed,
heterogeneous,
and varying statistical properties.
Novel mathematical models, methods, and
tools are needed for the representation, analysis, and understanding of
such
large-scale datasets that come from scientific domains pertinent to the
DOE.
All applications should address the potential for advances in mathematical
methods or numerical algorithms and not just the application of methods and
algorithms to a specific science problem, no matter how challenging.
Educational aspects, while always welcome, are neither required nor
emphasized
in this call.
please contact Dr. Alexandra
Landsberg, Applied Mathematics Program, Telephone:
(301) 903-8507, FAX:
(301)
903-7774, E-mail:
landsberg@ascr.doe.gov.
The Office of Advanced Scientific Computing Research (ASCR) of the Office
of
Science (SC), U. S. Department of Energy (DOE), hereby announces its
interest in
receiving grant applications for research addressing the mathematical
challenges involved in extracting insights from extremely large datasets
(?petascale data?) and investigating fundamental issues in finding key
features
and understanding the relationships between those features.
Petascale data may be produced by high-resolution simulations on massively
parallel computers in complex applications, such as climate modeling,
fusion,
and other large-scale science and engineering calculations.
They may also
result from experiments and observational studies, such as those in
high-energy
physics and cosmology.
The effective analysis of petascale data is often
challenged by some combination of its large-scale, distributed,
heterogeneous,
and varying statistical properties.
Novel mathematical models, methods, and
tools are needed for the representation, analysis, and understanding of
such
large-scale datasets that come from scientific domains pertinent to the
DOE.
All applications should address the potential for advances in mathematical
methods or numerical algorithms and not just the application of methods and
algorithms to a specific science problem, no matter how challenging.
Educational aspects, while always welcome, are neither required nor
emphasized
in this call.
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/70EE0B617E68271585257589004D1CB9?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:
2009-03-30
Application Due Date:
2009-05-29
Archive Date:
2010-03-30
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