Low Power Computing Professors in Global

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Simon Mcintosh-smith
University of Bristol United Kingdom
high performance computing
gpu computing
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Jiaqi Gu
Arizona State University China
No active positions
energy-efficient computing
emerging hardware design for efficient computing
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Natalie Enright Jerger
University of Toronto Canada
energy-efficient computing
high-performance processors
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Muhammad Shafique
New York University Tandon School of Engineering United States of America
energy-efficient computing
robust computing
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Nathan Beckmann
Carnegie Mellon University United States of America
energy-efficient computing
general-purpose computing
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Bo Peng
KTH Royal Institute of Technology Sweden
high performance computing
system-level optimization
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Peter Beerel
University of Southern California United States of America
energy-efficient computing
sustainable computing
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Carlos Lopez Pombo
McMaster University Canada
computing software
performance optimization
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Amirali Baniasadi
University of Victoria Canada
low-power design
power-aware architectures
high-performance processors
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Eun Kim
Texas A&M University United States of America
power efficient systems
fault-tolerant computing
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Gustavo Alonso
ETH Zurich Switzerland
performance optimization
computing platforms
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Ana Klimovic
ETH Zurich Switzerland
performance optimization
computing platforms
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Timothy Roscoe
ETH Zurich Switzerland
performance optimization
computing platforms
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Paul Kelly
Imperial College London United Kingdom
real-time computing
software performance optimisation
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David Brooks
Harvard John Paulson School of Engineering and Applied Sciences United States of America
green computing
sustainable computing
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Majid Ali
Aalborg University Denmark
power generation
energy optimization
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Tania Roy
Duke University Singapore
high power electronics
energy-efficient electronics
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Tania Roy
Duke University Singapore
high power electronics
energy-efficient electronics
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Saibal Mukhopadhyay
Georgia Institute of Technology United States of America
ultra-low power fault-tolerant nanoelectronics
low-power variation tolerant reliable vlsi systems
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Xu Zhang
Carnegie Mellon University United States of America
energy-efficient computing
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Daler Rakhmatov
University of Victoria Canada
energy-efficient computing
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