Memory Efficient Computing Professors in Global

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Jiaqi Gu
Arizona State University China
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energy-efficient computing
efficient algorithm
emerging hardware design for efficient computing
efficient ai hardware design
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Slobodan Mitrovic
University of California, Davis United States of America
efficient algorithms
memory-constrained computation
optimization
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Bo Peng
KTH Royal Institute of Technology Sweden
memory subsystem optimization
high performance computing
system-level optimization
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Hyesoon Kim
Georgia Institute of Technology United States of America
energy-efficient computing
high-performance computing
compiler optimizations
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Muhammad Shafique
New York University Tandon School of Engineering United States of America
energy-efficient computing
robust computing
brain-inspired computing
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R Bahar
Brown University United States of America
energy-efficient computing
reliable computing
robust machine learning
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Onur Mutlu
ETH Zurich Switzerland
performance optimization
memory systems
energy efficiency
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Amirali Amirsoleimani
York University Canada
in-memory computing
memory circuits
emerging memory technologies
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Amirali Amirsoleimani
York University Canada
in-memory computing
memory circuits
emerging memory technologies
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Mikko Lipasti
University of Wisconsin–Madison United States of America
performance computing
high reliability computing
low power computing
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Tammy Marche
University of Saskatchewan Canada
memory accuracy
memory education
memory development
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Ian Jeffrey
University of Manitoba Canada
high-performance computing
gpu computing
optimization
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Yuan Yao
Uppsala University Sweden
memory systems
emerging memory techniques
high performance parallel computing architectures
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Eun Kim
Texas A&M University United States of America
power efficient systems
fault-tolerant computing
cluster computing
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Annelie Carlson
Linköping University Sweden
resource efficiency
cost efficiency
energy efficiency
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Ki Yum
Texas A&M University United States of America
fault-tolerant computing
power-efficient systems
cluster computing
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Sophia Wilson
University of Copenhagen Denmark
resource efficient machine learning
data efficient machine learning
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Jiaqi Gu
Arizona State University China
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efficient computing
efficient ai hardware & algorithm
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Martin Schulz
Technical University of Munich Germany
memory system optimization
high-performance computing
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Kanishkan Vadivel
Eindhoven University of Technology Belgium
energy efficient computing
high-performance computing
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Lars Karlsson
Umeå University Sweden
efficient algorithms
high-performance computing
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