Energy Efficient High Performance Computing by Laros Iii (12 results)
Language: English
Published by Springer 2012
Series: SpringerBriefs in Computer Science, Book 39 of 322. Book 39 of 322 - SpringerBriefs in Computer Science
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Energy-Efficient High Performance Computing : Measurement and Tuning
Laros, James H., III; Pedretti, Kevin; Kelly, Suzanne M.; Shu, Wei; Ferreira, Kurt
Language: English
Published by Springer 2012
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Published by Springer 2012-09 2012
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Language: English
Published by Springer 2012
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Language: English
Published by Springer, Springer 2012
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Recognition of the importance of power and energy in the field of high performance computing (HPC) has never been greater. Research has been conducted in a number of areas related to power and energy, but little existing research has focused on lar…ge-scale HPC. Part of the reason is the lack of measurement capability currently available on small or large platforms. Typically, research is conducted using coarse methods of measurement such as inserting a power meter between the power source and the platform, or fine grained measurements using custom instrumented boards (with obvious limitations in scale). To analyze real scientific computing applications at large scale, an in situ measurement capability is necessary that scales to the size of the platform.In response to this challenge, the unique power measurement capabilities of the Cray XT architecture were exploited to gain an understanding of power and energy use and the effects of tuning both CPU and network bandwidth. Modifications were made at the operating system level to deterministically halt cores when idle. Additionally, capabilities were added to alter operating P-state. At the application level, an understanding of the power requirements of a range of important DOE/NNSA production scientific computing applications running at large scale (thousands of nodes) is gained by simultaneously collecting current and voltage measurements on the hosting nodes. The effects of both CPU and network bandwidth tuning are examined and energy savings opportunities of up to 39% with little or no impact on run-time performance is demonstrated. Capturing scale effects was key. This research provides strong evidence that next generation large-scale platforms should not only approach CPU frequency scaling differently, as we will demonstrate, but could also benefit from the capability to tune other platform components, such as the network, to achieve more energy efficient performance.
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Taschenbuch. Condition: Neu. Energy-Efficient High Performance Computing | Measurement and Tuning | James H. Laros III (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | xiv | Englisch | 2012 | Springer | EAN 9781447144915 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, j…uergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Energy-Efficient High Performance Computing: Measurement and Tuning (SpringerBriefs in Computer Science)
Laros III, James H., Pedretti, Kevin, Kelly, Suzanne M., Shu
Language: English
Published by Springer 2012
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Energy-Efficient High Performance Computing : Measurement and Tuning
Laros, James H., III; Pedretti, Kevin; Kelly, Suzanne M.; Shu, Wei; Ferreira, Kurt
Language: English
Published by Springer 2012
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Published by Springer London 2012
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | In this work, the unique power measurement capabilities of the Cray XT architecture were exploited to gain an understanding of power and energy use, and the effects of tuning both CPU and network bandwidth. Modifications were made to deterministica…lly halt cores when idle. Additionally, capabilities were added to alter operating P-state. At the application level, an understanding of the power requirements of a range of important DOE/NNSA production scientific computing applications running at large scale is gained by simultaneously collecting current and voltage measurements on the hosting nodes. The effects of both CPU and network bandwidth tuning are examined, and energy savings opportunities without impact on run-time performance are demonstrated. This research suggests that next-generation large-scale platforms should not only approach CPU frequency scaling differently, but could also benefit from the capability to tune other platform components to achieve more energy-efficient performance.
Language: English
Published by Springer London, Springer Sep 2012 2012
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Recognition of the importance of power and energy in the field of high performance computing (HPC) has never been greater. Research has been conducted in a number of areas related to power and energy, but little existing research ha…s focused on large-scale HPC. Part of the reason is the lack of measurement capability currently available on small or large platforms. Typically, research is conducted using coarse methods of measurement such as inserting a power meter between the power source and the platform, or fine grained measurements using custom instrumented boards (with obvious limitations in scale). To analyze real scientific computing applications at large scale, an in situ measurement capability is necessary that scales to the size of the platform.In response to this challenge, the unique power measurement capabilities of the Cray XT architecture were exploited to gain an understanding of power and energy use and the effects of tuning both CPU and network bandwidth. Modifications were made at the operating system level to deterministically halt cores when idle. Additionally, capabilities were added to alter operating P-state. At the application level, an understanding of the power requirements of a range of important DOE/NNSA production scientific computing applications running at large scale (thousands of nodes) is gained by simultaneously collecting current and voltage measurements on the hosting nodes. The effects of both CPU and network bandwidth tuning are examined and energy savings opportunities of up to 39% with little or no impact on run-time performance is demonstrated. Capturing scale effects was key. This research provides strong evidence that next generation large-scale platforms should not only approach CPU frequency scaling differently, as we will demonstrate, but could also benefit from the capability to tune other platform components, such as the network, to achieve more energy efficient performance. 84 pp. Englisch.
Language: English
Published by Springer London 2012
Series: SpringerBriefs in Computer Science, Book 39 of 322. Book 39 of 322 - SpringerBriefs in Computer Science
- Softcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Examines the power requirements of a range of important DOE/NNSA production scientific computing applications running at large scaleDemonstrates how CPU and network bandwidth tuning can result in energy savings with l…ittle or no impact on run-time.
Language: English
Published by Springer, Springer Sep 2012 2012
Series: SpringerBriefs in Computer Science, Book 39 of 322. Book 39 of 322 - SpringerBriefs in Computer Science
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this work, the unique power measurement capabilities of the Cray XT architecture were exploited to gain an understanding of power and energy use, and the effects of tuning both CPU and network bandwidth. Modifications were made to de…terministically halt cores when idle. Additionally, capabilities were added to alter operating P-state. At the application level, an understanding of the power requirements of a range of important DOE/NNSA production scientific computing applications running at large scale is gained by simultaneously collecting current and voltage measurements on the hosting nodes. The effects of both CPU and network bandwidth tuning are examined, and energy savings opportunities without impact on run-time performance are demonstrated. This research suggests that next-generation large-scale platforms should not only approach CPU frequency scaling differently, but could also benefit from the capability to tune other platform components to achieve more energy-efficient performance.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 84 pp. Englisch.
