Scientific Parallel Computing Professors in Global

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Martin Schulz
Technical University of Munich Germany
power-aware parallel computing
parallel programming paradigms
parallel distributed architectures
tool support for parallel programming
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Hans Sørensen
Technical University of Denmark Denmark
scientific computing
parallel computers
parallel programming
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Roman Iakymchuk
Umeå University Sweden
scientific computing
parallel programming
sustainable computations
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Bernd Dammann
Technical University of Denmark Denmark
scientific computing
parallel programming
large scale computations
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Aydin Buluç
University of California, Berkeley United States of America
parallel computing
combinatorial scientific computing
computational biology
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John Board
Duke University Singapore
parallel processing
high performance scientific computing
cluster computing
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John Board
Duke University Singapore
parallel processing
high performance scientific computing
cluster computing
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Ananth Grama
Purdue University United States of America
parallel computing
computational science
computational biology
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Peter Mcmahon
Cornell University Netherlands
scientific computing
quantum computing
neuromorphic computing
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Eun Kim
Texas A&M University United States of America
parallel distributed systems
cluster computing
fault-tolerant computing
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John Shen
Carnegie Mellon University United States of America
instruction-level parallelism
thread-level parallelism
fault-tolerant computing
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Prasanth Nair
University of Toronto Institute for Aerospace Studies Canada
computational science
computational neuroscience
computational materials science
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Ian Foster
University of Chicago United States of America
parallel computing
scientific computing
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Doron Nussbaum
Carleton University Canada
parallel computing
parallel distributed computing
medical computing
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Awos Kanan
University of Victoria Canada
parallel computing
parallel algorithms
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Xiaobai Sun
Duke University Singapore
parallel computing
high-performance scientific computing
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Xiaobai Sun
Duke University Singapore
parallel computing
high-performance scientific computing
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Tze Low
Carnegie Mellon University United States of America
parallel high-performance computing
parallel programming
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Francesc Verdugo Rojano
Vrije Universiteit Amsterdam Netherlands
scientific computing
parallel algorithms
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Quentin Stout
University of Michigan United States of America
parallel computing
computational science
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Kazem Cheshmi
McMaster University Canada
scientific computing
parallel architectures
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