Grant: Discovery Grants Program - Individual
University of Winnipeg
$23,000.00
Exploring the Intersection of Set Proximity, Parallel Computing, and Machine Learning
FY 2021-22
Summary
Deep learning; Descriptive proximity; Descriptive topology; General purpose computing using GPUs; High performance computing; Nearness; Near sets; Quantifying similarity; Scientific computing; Similarity measures
Program
Discovery Grants Program - Individual
Recipient
Location
Manitoba, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2018-04088
Name nom
Henry, Christopher
Department département
Applied Computer Science
Organization id
21
Institution établissement
University of Winnipeg
Province en
Manitoba
Province fr
Manitoba
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2018
Award amount
23000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2714
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Mathematics of computing
Research subject fr
Mathématiques de l'informatique
Installment
inst:4
Partie
1
Nb partie
5
Application title
Exploring the Intersection of Set Proximity, Parallel Computing, and Machine Learning
Keyword
NSERC
Application summary
Deep learning; Descriptive proximity; Descriptive topology; General purpose computing using GPUs; High performance computing; Nearness; Near sets; Quantifying similarity; Scientific computing; Similarity measures
