Gpu Computing Professors in Global

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Simon Mcintosh-smith
University of Bristol United Kingdom
gpu computing
high performance computing
multi-core processors
many-core processors
computer architecture
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Farshad Khunjush
University of Victoria Canada
cloud computing
quantum computing
parallel computing
big data processing
computer architecture
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Bernd Dammann
Technical University of Denmark Denmark
gpu computing
high-performance computing
large scale computations
scientific computing
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Jiaqi Gu
Arizona State University China
No active positions
gpu acceleration
energy-efficient computing
emerging hardware design for efficient computing
parallel computing
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Hyesoon Kim
Georgia Institute of Technology United States of America
high-performance computing
energy-efficient computing
embedded processors
computer architecture
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William Lee
Yale University United States of America
cloud computing
mathematical computing
computer simulation
signal processing
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Natalie Enright Jerger
University of Toronto Canada
high-performance processors
energy-efficient computing
parallel computing
computer architecture
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Stephan Wong
Delft University of Technology Netherlands
high-performance computing
network processing
hardware
reconfigurable computing
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Nikos Hardavellas
Northwestern University United States of America
energy-efficient computing
quantum computing
multicore processors
computer architecture
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Guillermo Sapiro
Duke University Singapore
computer graphics
image processing
scientific computation
video processing
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Peter Mcmahon
Cornell University Netherlands
quantum computing
scientific computing
neuromorphic computing
computer architecture
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John Board
Duke University Singapore
cluster computing
high performance scientific computing
computer architectures
parallel processing
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Akshitha Sriraman
Carnegie Mellon University United States of America
parallel computing
data center computing
computer systems
computer architecture
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Eric Darve
Stanford University United States of America
gpu computing
high-performance computing
parallel computing
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Ian Jeffrey
University of Manitoba Canada
gpu computing
high-performance computing
distributed computing
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Hans Sørensen
Technical University of Denmark Denmark
gpu
scientific computing
parallel computers
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Vasilis Naserentin
Chalmers University of Technology Sweden
high performance computing
cloud computing
edge computing
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Kyle Chard
University of Chicago United States of America
high performance computing
cloud computing
scientific computing
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Viktor Prasanna
University of Southern California United States of America
high performance computing
cloud computing
reconfigurable computing
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Viktor Prasanna
University of Southern California United States of America
high performance computing
cloud computing
reconfigurable computing
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Viktor Prasanna
University of Southern California United States of America
high performance computing
cloud computing
reconfigurable computing
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