Parallel Computation Professors in Global

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Fabian Bastin
University of Montreal Canada
mathematical programming
computer simulation
stochastic programming
nonlinear programming
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Martin Schulz
Technical University of Munich Germany
parallel distributed architectures
parallel programming paradigms
power-aware parallel computing
tool support for parallel programming
high-performance computing
quantum computing programming
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John Shen
Carnegie Mellon University United States of America
thread-level parallelism
instruction-level parallelism
fault-tolerant computing
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Hans Sørensen
Technical University of Denmark Denmark
parallel programming
parallel computers
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Tze Low
Carnegie Mellon University United States of America
parallel programming
parallel high-performance computing
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John Reppy
University of Chicago United States of America
parallel programming
concurrent programming
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Bernd Dammann
Technical University of Denmark Denmark
parallel programming
large scale computations
high-performance computing
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Robert Braun
Linköping University Sweden
parallel simulation
computer simulation
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Pui-kuen Yeung
Georgia Institute of Technology United States of America
massively parallel computation
computational algorithms
heterogeneous computing
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Sepehr Assadi
University of Waterloo Canada
massively parallel computation
models of computation
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Gihan Mudalige
University of Warwick United Kingdom
parallel architectures
numerical simulation
high-performance computing
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Elli Anastasiadi
Aalborg University Denmark
parallel programs
concurrent programs
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Michael Berry
Princeton University United States of America
neural computation
predictive computation
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Ki Yum
Texas A&M University United States of America
parallel and distributed systems
cluster computing
fault-tolerant computing
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Bruno Olshausen
University of California, Berkeley United States of America
neural computation
computational models
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Luke Miller
Radboud University Netherlands
neural computations
computational modeling
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John Gill
Stanford University United States of America
probabilistic computation
computational complexity
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Paul Goldberg
University of Oxford United Kingdom
decentralized computation
computational complexity
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Mark Harnett
Massachusetts Institute of Technology United States of America
neuronal computation
single-cell computation
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Martin Andersen
Technical University of Denmark Denmark
mathematical programming
stochastic programming
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Fabricio Oliveira
Technical University of Denmark Denmark
mathematical programming
stochastic programming
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