Hardware Accelerated Computing Systems Professors in Global

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Ian Foster
University of Chicago United States of America
high-performance computing
distributed computing
data-intensive computing
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Ian Jeffrey
University of Manitoba Canada
high-performance computing
distributed computing
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Christos Strydis
Delft University of Technology Netherlands
high-performance computing
secure hardware architectures
heterogeneous computing
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Joseph Skovira
Cornell University Netherlands
high-performance computing
computing systems design
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Afsaneh Rahbar
Duke University Singapore
high-performance computing
distributed systems
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Erik Elmroth
Umeå University Sweden
high-performance computing
distributed systems
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Mootaz Elnozahy
University of Texas at Austin United States of America
high-performance computing
distributed systems
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Afsaneh Rahbar
Duke University Singapore
high-performance computing
distributed systems
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Kai Li
Princeton University United States of America
high-performance computing
distributed systems
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Ahmad Afsahi
Queen's University Canada
heterogeneous accelerated cluster computing
high-performance computing
parallel processing systems
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Josep Torrellas
University of Illinois United States of America
high-performance computing
performance analysis systems
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Alexander Brandt
Dalhousie University Canada
high-performance computing
parallel heterogeneous computing
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Hyesoon Kim
Georgia Institute of Technology United States of America
high-performance computing
energy-efficient computing
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Timothy Pinkston
University of Southern California United States of America
high-performance computing
energy-efficient computing
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Gerard Gorman
Imperial College London United Kingdom
high-performance computing
adaptive computational algorithms
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Martin Schulz
Technical University of Munich Germany
high-performance computing
quantum computing architectures
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Vladimir Okhmatovski
University of Manitoba Canada
high-performance computing
fast algorithms
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Dennis Sylvester
University of Michigan United States of America
high-performance computing
near-threshold computing
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Dilma Da Silva
Texas A&M University United States of America
high-end computing
distributed computing
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Luca Benini
Stanford University United States of America
energy-efficient computing systems
machine learning hardware
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Wendy Chen
University of New South Wales Australia
distributed computing
artificial intelligence acceleration
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