找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

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

[复制链接]
查看: 15585|回复: 41
发表于 2025-3-21 20:01:55 | 显示全部楼层 |阅读模式
书目名称HPC@Green IT
副标题Green High Performan
编辑Ralf Gruber,Vincent Keller
视频video
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
图书封面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
关键词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

书目名称HPC@Green IT影响因子(影响力)




书目名称HPC@Green IT影响因子(影响力)学科排名




书目名称HPC@Green IT网络公开度




书目名称HPC@Green IT网络公开度学科排名




书目名称HPC@Green IT被引频次




书目名称HPC@Green IT被引频次学科排名




书目名称HPC@Green IT年度引用




书目名称HPC@Green IT年度引用学科排名




书目名称HPC@Green IT读者反馈




书目名称HPC@Green IT读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-22 00:01:24 | 显示全部楼层
发表于 2025-3-22 01:09:02 | 显示全部楼层
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.
发表于 2025-3-22 07:17:11 | 显示全部楼层
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 ïanos implementation is presented, and validated with a Grid of HPC clusters.
发表于 2025-3-22 10:16:38 | 显示全部楼层
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.
发表于 2025-3-22 14:18:49 | 显示全部楼层
发表于 2025-3-22 17:32:56 | 显示全部楼层
发表于 2025-3-23 00:44:25 | 显示全部楼层
发表于 2025-3-23 05:20:31 | 显示全部楼层
发表于 2025-3-23 06:40:35 | 显示全部楼层
978-3-642-42636-0Springer-Verlag Berlin Heidelberg 2010
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-1 11:30
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表