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Titlebook: HPC@Green IT; Green High Performan Ralf Gruber,Vincent Keller Book 2010 Springer-Verlag Berlin Heidelberg 2010 Adapt Computers to Applicati

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發(fā)表于 2025-3-21 20:01:55 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)HPC@Green IT
副標(biāo)題Green High Performan
編輯Ralf Gruber,Vincent Keller
視頻videohttp://file.papertrans.cn/421/420302/420302.mp4
概述Guideline how to improve existing applications in a company with the goal to reduce computer energy consumption.Computers and applications are parameterized, the relevant quantities monitored, and mod
圖書(shū)封面Titlebook: HPC@Green IT; Green High Performan Ralf Gruber,Vincent Keller Book 2010 Springer-Verlag Berlin Heidelberg 2010 Adapt Computers to Applicati
描述Making the most ef?cient use of computer systems has rapidly become a leading topic of interest for the computer industry and its customers alike. However, the focus of these discussions is often on single, isolated, and speci?c architectural and technological improvements for power reduction and conservation, while ignoring the fact that power ef?ciency as a ratio of performance to power consumption is equally in?uenced by performance improvements and architectural power red- tion. Furthermore, ef?ciency can be in?uenced on all levels of today’s system hi- archies from single cores all the way to distributed Grid environments. To improve execution and power ef?ciency requires progress in such diverse ?elds as program optimization, optimization of program scheduling, and power reduction of idling system components for all levels of the system hierarchy. Improving computer system ef?ciency requires improving system performance and reducing system power consumption. To research and reach reasonable conc- sions about system performance we need to not only understand the architectures of our computer systems and the available array of code transformations for p- formance optimizations,
出版日期Book 2010
關(guān)鍵詞Adapt Computers to Applications; Application Efficiency; Green Computing; Green IT; Grid Computing; High
版次1
doihttps://doi.org/10.1007/978-3-642-01789-6
isbn_softcover978-3-642-42636-0
isbn_ebook978-3-642-01789-6
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

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https://doi.org/10.1007/978-3-031-18892-3er level, the purpose of this chapter. The authors are aware that parallelizing a sequential application can lead to a high number of problems, and even to sometimes wrong results if a race condition is introduced. Parallelization can be mandatory if a single nodes does not offer enough main memory or if its performance is insufficient.
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https://doi.org/10.1007/978-1-137-39169-8 resources to the needs of the applications. A scheduling scenario is proposed in Section 8.2. In Section 8.3, the Cost Function Model (CFM) is described that minimizes an objective function based on one single metric, the financial cost. Then, the ?anos implementation is presented, and validated with a Grid of HPC clusters.
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https://doi.org/10.1057/9781137029539rgy consumption by adapting a computer to application needs, by choosing a well suited machine to run each application component, and by installing a Grid of resources that is best suited to the application community. We know that these advices could well be wrong.
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978-3-642-42636-0Springer-Verlag Berlin Heidelberg 2010
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