Large Scale Parallel Programming Professors in Global

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Martin Schulz
Technical University of Munich Germany
parallel programming paradigms
parallel distributed architectures
power-aware parallel computing
tool support for parallel programming
quantum computing programming
high-performance computing
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Giulia Guidi
Cornell University Netherlands
parallel computation
large-scale computational biology
programming systems
high-performance computing
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Bernd Dammann
Technical University of Denmark Denmark
parallel programming
large scale computations
high-performance computing
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John Reppy
University of Chicago United States of America
parallel programming
concurrent programming
functional programming
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Ahmad Afsahi
Queen's University Canada
parallel programming models
parallel processing systems
high-performance computing
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Martin Schultz
Yale University United States of America
parallel programming environments
parallel architectures
high-performance computing
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Raúl Radovitzky
Massachusetts Institute of Technology United States of America
massively parallel computing
multiscale modeling
high-performance computing
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Ajit Singh
University of Waterloo Canada
parallel distributed programming models
debugging parallel distributed systems
multiprocessor architectures
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Jacek Gondzio
University of Edinburgh United Kingdom
parallel computing
linear programming
nonlinear programming
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Tiziano De Matteis
Vrije Universiteit Amsterdam Netherlands
parallel computing
multiscale architectures
high-performance computing
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Lei Ying
University of Michigan United States of America
large-scale computing systems
large-scale communication systems
large-scale graph mining
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Alemseged Weldeyesus
University of Edinburgh United Kingdom
large-scale optimization
linear programming
nonlinear programming
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Eric Darve
Stanford University United States of America
parallel computing
large-language models
high-performance computing
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Pierre Künzli
University of Geneva Switzerland
parallel computing
programming
high-performance computing
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Birgit Schwartz-reinken
University of Hamburg Germany
parallel algorithms
linear programming
mixed integer programming
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Carl Laird
Carnegie Mellon University United States of America
parallel scientific computing
large-scale nonlinear optimization
high-performance computing
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Fabian Bastin
University of Montreal Canada
stochastic programming
mathematical programming
nonlinear programming
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Tze Low
Carnegie Mellon University United States of America
parallel programming
parallel high-performance computing
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Hans Sørensen
Technical University of Denmark Denmark
parallel programming
parallel computers
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Bernard Gendron
University of Montreal Canada
large scale problem solving
parallel algorithms
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Nikela Papadopoulou
University of Glasgow United Kingdom
parallel programming models
large-scale systems
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