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Energy and carbon aware scheduling in supercomputing
Mikko Majanen
, Olli Mämmelä
, André Giesler
Forschungszentrum Jülich GmbH (FZJ)
Research output
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Contribution to journal
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Article
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Scientific
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peer-review
Overview
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Keyphrases
Energy Consumption
100%
Computing Node
100%
Multiple Data Centers
100%
Simulation Environment
50%
Energy Saving
50%
Emission Savings
50%
Information Communication Technology
50%
High Performance
50%
Computing Power
50%
Technical Characteristics
50%
Energy Consumption Reduction
50%
High Performance Computing
50%
Grid Computing
50%
Energy Optimization
50%
Testbed Environment
50%
Waiting Time
50%
Computing Cluster
50%
Turnaround Time
50%
Technology Performance
50%
Computing Performance
50%
Energy Emission
50%
Traditional Data Center
50%
INIS
energy
100%
carbon
100%
algorithms
100%
performance
80%
data
80%
emission
60%
energy consumption
60%
simulation
40%
computer codes
40%
comparative evaluations
20%
information
20%
environment
20%
optimization
20%
grids
20%
power
20%
reliability
20%
Computer Science
Data Center
100%
Energy Consumption
75%
Testbed
50%
High-Performance Computing
25%
Grid Computing
25%
Cluster Computing
25%
Computer Hardware
25%
Computing Power
25%
Information and Communication Technology
25%