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| 100 |
1 |
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|a Feng, Wu-chun
|9 49149
|
| 245 |
1 |
0 |
|a The green computing book :
|b tackling energy efficiency at large scale
|
| 250 |
|
|
|a 1a ed.
|
| 260 |
|
|
|a Boca Raton :
|b CRC,
|c 2014
|
| 300 |
|
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|a xviii, 337 p. :
|b il.
|
| 500 |
|
|
|a Incluye índice.
|
| 505 |
0 |
|
|a Preface -- Contributors -- 1. Low-power, massively parallel, energy-efficient supercomputers / IBM Blue Gene Team -- 2. Compiler-driven energy efficiency / Mahmut Kandemir and Shekhar Srikantaiah -- 3. An adaptive run-time system for improving energy efficiency / Chung-Hsing Hsu, Wu-chun Feng, and Stephen W. Poole -- 4. Energy-efficient multithreading through run-time adaptation / Matthew Curtis-Maury and Dimitrious S. Nikolopoulus -- 5. Sxploring trade-offs between energy savings and reliability in storage systems / Ali R. Butt, Puranjoy Bhattacharjee, Guanying Wang, and Chris Gniady -- 6. Cross-layer power management / Zhikui Wang and Parthasarathy Ranganathan -- 7. Energy-efficient virtualized systems / Ripal Nathuji and Karsten Schwan -- 8. Demand response for computing centers Jeffery S. Chase -- 9. Implications of recent trends in performance, costs, and energy use for servers / Jonathan G. Koomey, Christian Belady, Michael Patterson, Anthony Santos, and Klaus-Dieter Lange
|
| 650 |
|
4 |
|a TECNOLOGÍAS VERDES (GREEN TECH)
|9 46841
|
| 650 |
|
4 |
|a MEDIO AMBIENTE
|9 5849
|
| 942 |
|
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