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Synopsis
In an effort to reduce the energy consumption of high performance computing centers, one approach is to switch hardware to lower power states in promising parallel application phases. But statically switching the power saving mechanisms increases the application runtime. As a consequence, no energy can be saved. Contrary to static switching strategies, dynamic switching strategies consider the hardware usage in the application phases to switch between the different modes without increasing the application runtime. This book designs and evaluates tool extensions for power consumption measurement in parallel systems with the final goal to characterize and identify energy-efficiency hot spots in scientific applications. Using an energy-efficiency benchmark for parallel systems, typical hardware usage pattern are identified to characterize the workload, the impact on the node power consumption and finally the potential for energy saving. The significant power and energy-saving potential led to the design of a software interface for the efficient management of the power saving modes per compute node to be exploited by application programmers.
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About the Author
Timo Minartz received his PhD in June 2013 from the University of Hamburg. His major research interests are high-performance computing and energy efficiency. He received his MSc degree at the University of Heidelberg in 2009 where he started to work in the field of High Performance Computing.
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Power Consumption Measurement in Parallel Systems
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Südwestdeutscher Verlag Für Hochschulschriften Mrz 2014, 2014
ISBN 10: 3838137949
ISBN 13: 9783838137940
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In an effort to reduce the energy consumption of high performance computing centers, one approach is to switch hardware to lower power states in promising parallel application phases. But statically switching the power saving mechanisms increases the application runtime. As a consequence, no energy can be saved. Contrary to static switching strategies, dynamic switching strategies consider the hardware usage in the application phases to switch between the different modes without increasing the application runtime. This book designs and evaluates tool extensions for power consumption measurement in parallel systems with the final goal to characterize and identify energy-efficiency hot spots in scientific applications. Using an energy-efficiency benchmark for parallel systems, typical hardware usage pattern are identified to characterize the workload, the impact on the node power consumption and finally the potential for energy saving. The significant power and energy-saving potential led to the design of a software interface for the efficient management of the power saving modes per compute node to be exploited by application programmers. 196 pp. Englisch. Seller Inventory # 9783838137940
Quantity: 2 available
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Power Consumption Measurement in Parallel Systems
Published by
Südwestdeutscher Verlag für Hochschulschriften, 2014
ISBN 10: 3838137949
ISBN 13: 9783838137940
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Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Minartz TimoTimo Minartz received his PhD in June 2013 from the University of Hamburg. His major research interests are high-performance computing and energy efficiency. He received his MSc degree at the University of Heidelberg in 2. Seller Inventory # 5408023
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Power Consumption Measurement in Parallel Systems
Published by
Südwestdeutscher Verlag Für Hochschulschriften, 2014
ISBN 10: 3838137949
ISBN 13: 9783838137940
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In an effort to reduce the energy consumption of high performance computing centers, one approach is to switch hardware to lower power states in promising parallel application phases. But statically switching the power saving mechanisms increases the application runtime. As a consequence, no energy can be saved. Contrary to static switching strategies, dynamic switching strategies consider the hardware usage in the application phases to switch between the different modes without increasing the application runtime. This book designs and evaluates tool extensions for power consumption measurement in parallel systems with the final goal to characterize and identify energy-efficiency hot spots in scientific applications. Using an energy-efficiency benchmark for parallel systems, typical hardware usage pattern are identified to characterize the workload, the impact on the node power consumption and finally the potential for energy saving. The significant power and energy-saving potential led to the design of a software interface for the efficient management of the power saving modes per compute node to be exploited by application programmers. Seller Inventory # 9783838137940
Quantity: 1 available
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Power Consumption Measurement in Parallel Systems
Published by
Südwestdeutscher Verlag Für Hochschulschriften Mär 2014, 2014
ISBN 10: 3838137949
ISBN 13: 9783838137940
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Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. Neuware -In an effort to reduce the energy consumption of high performance computing centers, one approach is to switch hardware to lower power states in promising parallel application phases. But statically switching the power saving mechanisms increases the application runtime. As a consequence, no energy can be saved. Contrary to static switching strategies, dynamic switching strategies consider the hardware usage in the application phases to switch between the different modes without increasing the application runtime. This book designs and evaluates tool extensions for power consumption measurement in parallel systems with the final goal to characterize and identify energy-efficiency hot spots in scientific applications. Using an energy-efficiency benchmark for parallel systems, typical hardware usage pattern are identified to characterize the workload, the impact on the node power consumption and finally the potential for energy saving. The significant power and energy-saving potential led to the design of a software interface for the efficient management of the power saving modes per compute node to be exploited by application programmers.Books on Demand GmbH, Überseering 33, 22297 Hamburg 196 pp. Englisch. Seller Inventory # 9783838137940
Quantity: 2 available