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Grant: Research Tools and Instruments - Category 1 (<$150,000)

Carleton University

$1,054.00

Computing infrastructure for mathematics and statistics

EF 2012-13

Résumé
We are proposing replacing an aging research computer laboratory used by students and faculty. The supported research includes discrete mathematics, algebra, applied analysis, statistics, abstract analysis, and probability theory. Major theoretical advances would include understanding finite projective planes, infinite-dimensional Lie theory, quantum group theory, and queueing theory. Important applications of the research include efficient software testing, modeling large animal populations, gas and fluid flows, quantum information theory and improving the efficiency and performance of telecommunication and computer networks. We are also proposing the purchase of a small cutting edge general purpose graphics processing unit. GP-GPU's are distributed computers built from graphics cards, which can perform very high precision large floating point and matrix computations. They can mimic some of the functionality of a Cray supercomputer at much lower cost. GP-GPUs can be ten or more times fast than conventional computers. This technology is about to become a standard in scientific computing. Most of the proposed research involves training highly qualified personnel for Canada's universities and high-tech sectors. Being able to train student on GP-GPUs is an exciting aspect of the proposal.
Programme
Research Tools and Instruments - Category 1 (<$150,000)
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
423693-2012
Name nom
Stevens, Brett
Department département
Mathematics and Statistics, School of
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2012
Competition year année de concours
2012
Award amount
1054
Program id
EQPEQ
Program name en
Research Tools and Instruments - Category 1 (<$150,000)
Program name fr
Outils et instruments de recherche - catégorie 1 (<150 000$)
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1508
Committee name en
Mathematics and Statistics
Committee name fr
Mathématiques et statistique
Area of application code
1200
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Advancement of knowledge
Area of application fr
Avancement des connaissances
Research subject code
2950
Research subject group en
Applied mathematics
Research subject group fr
Mathématiques appliquées
Research subject en
Applied mathematics
Research subject fr
Mathématiques appliquées
Partie
1
Nb partie
1
Application title
Computing infrastructure for mathematics and statistics
Keyword
NSERC
Application summary
We are proposing replacing an aging research computer laboratory used by students and faculty. The supported research includes discrete mathematics, algebra, applied analysis, statistics, abstract analysis, and probability theory. Major theoretical advances would include understanding finite projective planes, infinite-dimensional Lie theory, quantum group theory, and queueing theory. Important applications of the research include efficient software testing, modeling large animal populations, gas and fluid flows, quantum information theory and improving the efficiency and performance of telecommunication and computer networks. We are also proposing the purchase of a small cutting edge general purpose graphics processing unit. GP-GPU's are distributed computers built from graphics cards, which can perform very high precision large floating point and matrix computations. They can mimic some of the functionality of a Cray supercomputer at much lower cost. GP-GPUs can be ten or more times fast than conventional computers. This technology is about to become a standard in scientific computing. Most of the proposed research involves training highly qualified personnel for Canada's universities and high-tech sectors. Being able to train student on GP-GPUs is an exciting aspect of the proposal.