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010 a| 2012944978;

020 a| 9781447144922 (electronic bk.);

020 a| 1447144929 (electronic bk.);

020 a| 9781447144915 (paper);

020 a| 1447144910 (paper);

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050 00 a| QA76.88b| .E54 2013;

245 00 a| Energy-efficient high performance computingh| [electronic resource] :b| measurement and tuning /c| James H. Laros III ... [et al.].;

260 a| London ;a| New York :b| Springer,;

300 a| xiv, 67 p. :b| ill. (some col.) ;c| 24 cm.;

490 1 a| SpringerBriefs in computer science,x| 2191-5776;

504 a| Includes bibliographical references and index.;

506 a| Available only to authorized users.;

520 a| "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 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 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"--Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| High performance computingx| Energy consumption.=| ^A422846;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Laros, James H.?| UNAUTHORIZED;

830 0 a| SpringerBriefs in computer science.=| ^A1144214;

856 40 z| Full text available from Springer Nature - Springer Computer Science eBooks 2013 English Internationalu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Flink.springer.com%2F10.1007%2F978-1-4471-4492-2;

856 40 z| Full text available from Springer Booksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Flink.springer.com%2F10.1007%2F978-1-4471-4492-2;

947 a| (OCoLC)ocn829142015;

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949 a| CLICK ON WEB ADDRESSw| ASISh| HSL77;

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Energy-efficient high performance computing measurement and tuning / James H. Laros III ... [et al.].

Other author	Laros, James H.
Format	Electronic
Publication Info	London ; New York : Springer,
Description	xiv, 67 p. : ill. (some col.) ; 24 cm.
Supplemental Content	Full text available from Springer Nature - Springer Computer Science eBooks 2013 English International
Supplemental Content	Full text available from Springer Books
Subjects	High performance computing--Energy consumption.

Series	SpringerBriefs in computer science, 2191-5776 SpringerBriefs in computer science. ^A1144214
Contents	Platforms -- Measuring Power -- Applications -- Reducing Power During Idle Cycles -- Tuning CPU Power During Application Runtime -- Network Bandwidth Tuning During Application Runtime -- Energy Delay Product -- Conclusions.
Abstract	"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 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 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"--Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2012944978
ISBN	9781447144922 (electronic bk.)
ISBN	1447144929 (electronic bk.)
ISBN	9781447144915 (paper)
ISBN	1447144910 (paper)

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Energy-efficient high performance computing measurement and tuning / James H. Laros III ... [et al.].

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