Hardware Aware Algorithms Professors in Global

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Gara Pruesse
Vancouver Island University Canada
approximation algorithms
optimization algorithms
discrete algorithms
graph algorithms
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Olaf Schenk
Università della Svizzera italiana Switzerland
manycore algorithms
multicore algorithms
high-performance computing architectures
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Olaf Schenk
Università della Svizzera italiana Switzerland
manycore algorithms
multicore algorithms
high-performance computing
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Jiaqi Gu
Arizona State University China
No active positions
efficient ai hardware design
efficient algorithm
emerging hardware design for efficient computing
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Debarati Das
Pennsylvania State University United States of America
approximation algorithms
clustering algorithms
string algorithms
graph algorithms
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Mohammad Salavatipour
University of Alberta Canada
approximation algorithms
algorithmics
probabilistic randomized algorithms
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
approximation algorithms
dynamic algorithms
sublinear algorithms
graph algorithms
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Alexandr Andoni
Columbia University United States of America
algorithmic foundations
sublinear algorithms
machine learning
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Serkan Ayvaz
University of Southern Denmark Denmark
algorithmics
machine learning
graph algorithms
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Christian Schulz
Heidelberg University Germany
algorithm engineering
machine learning
scalable graph algorithms
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Michael Bader
Technical University of Munich Germany
hardware-aware algorithms
high performance computing
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Carsten Trinitis
Technical University of Munich Germany
hardware-oriented optimizations
high performance computing
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Marc Renault
University of Wisconsin United States of America
approximation algorithms
search algorithms
analysis of algorithms
online algorithms
offline algorithms
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Jiaqi Gu
Arizona State University China
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efficient ai hardware & algorithm
efficient computing
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Romaric Duvignau
University of Gothenburg Sweden
discovery algorithms
consensus algorithms
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Lei Zhang
University of Regina Canada
hardware acceleration
machine learning
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David Pan
University of Texas at Austin United States of America
hardware acceleration
machine learning
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Aditya Akella
University of Texas at Austin United States of America
hardware acceleration
machine learning
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Young Cho
University of Southern California United States of America
hardware acceleration
machine learning
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David Pan
University of Texas at Austin United States of America
hardware acceleration
machine learning
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Brandon Reagen
New York University Tandon School of Engineering United States of America
hardware acceleration
machine learning
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