Parallelizing Algorithms Professors in Global

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Marc Renault
University of Wisconsin United States of America
approximation algorithms
analysis of algorithms
search algorithms
online algorithms
offline algorithms
streaming algorithms
algorithm design
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Nicole Wein
University of Michigan United States of America
parameterized algorithms
graph algorithms
distributed algorithms
online algorithms
dynamic algorithms
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Martin Schulz
Technical University of Munich Germany
parallel programming paradigms
parallel distributed architectures
tool support for parallel programming
power-aware parallel computing
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Tze Low
Carnegie Mellon University United States of America
parallel programming
parallel high-performance computing
graph algorithms
machine learning
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Sean Chester
Aarhus University Denmark
parallel algorithms
algorithms
graph algorithms
design and analysis of algorithms
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Debarati Das
Pennsylvania State University United States of America
approximation algorithms
clustering algorithms
graph algorithms
string algorithms
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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
approximation algorithms
quantum algorithms
graph algorithms
data stream algorithms
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
approximation algorithms
sublinear algorithms
graph algorithms
dynamic algorithms
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Tuğkan Batu
London School of Economics United Kingdom
algorithms
sublinear algorithms
randomized computation
streaming algorithms
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Inge Gørtz
Technical University of Denmark Denmark
algorithms
approximation algorithms
graph algorithms
pattern matching
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John Reif
Duke University Singapore
parallel algorithms
randomized algorithms
graph algorithms
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Nima Anari
Stanford University United States of America
parallel algorithms
algorithms
sampling algorithms
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Norbert Zeh
Dalhousie University Canada
parallel algorithms
algorithms
graph algorithms
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George Papavassilopoulos
University of Southern California United States of America
parallel algorithms
optimization algorithms
genetic algorithms
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Martin Schultz
Yale University United States of America
parallel architectures
parallel programming environments
algorithm design
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Torsten Suel
New York University Tandon School of Engineering United States of America
parallel computation
algorithms
experimental algorithmics
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Quentin Stout
University of Michigan United States of America
parallel computing
algorithms
machine learning
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Ajit Singh
University of Waterloo Canada
parallel distributed programming models
parallelism i
debugging parallel distributed systems
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Vijaya Ramachandran
University of Texas at Austin United States of America
parallel computation
graph theory algorithms
algorithm design
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Aiichiro Nakano
University of Southern California United States of America
parallel computing
machine learning
algorithmic techniques
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Krzysztof Onak
Boston University United States of America
parallel distributed systems
algorithms
sublinear-time algorithms
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