Wu-chun Feng's The Green Computing Book: Tackling Energy Efficiency at PDF

By Wu-chun Feng

State-of-the-Art methods to improve the Large-Scale eco-friendly Computing Movement



Edited through one of many founders and lead investigator of the Green500 checklist, The eco-friendly Computing booklet: Tackling power potency at huge Scale explores seminal study in large-scale eco-friendly computing. It starts with low-level, hardware-based ways after which traverses up the software program stack with more and more higher-level, software-based approaches.



In the 1st bankruptcy, the IBM Blue Gene crew illustrates easy methods to enhance the strength potency of a supercomputer by means of an order of importance with none procedure functionality loss in parallelizable functions. the following few chapters clarify how one can improve the strength potency of a large-scale computing process through compiler-directed strength optimizations, an adaptive run-time procedure, and a normal prediction functionality framework. The ebook then explores the interactions among power administration and reliability and describes garage approach association that maximizes power potency and reliability. It additionally addresses the necessity for coordinated strength keep watch over throughout diversified layers and covers call for reaction rules in computing facilities. the ultimate bankruptcy assesses the effect of servers on facts middle costs.

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New PDF release: The Green Computing Book: Tackling Energy Efficiency at

State of the art techniques to increase the Large-Scale eco-friendly Computing MovementEdited by means of one of many founders and lead investigator of the Green500 record, the golf green Computing ebook: Tackling power potency at huge Scale explores seminal learn in large-scale eco-friendly computing. It starts off with low-level, hardware-based techniques after which traverses up the software program stack with more and more higher-level, software-based ways.

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The Green Computing Book: Tackling Energy Efficiency at Large Scale (Chapman & Hall/CRC Computational Science) by Wu-chun Feng


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