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Titlebook: Job Scheduling Strategies for Parallel Processing; 13th International W Eitan Frachtenberg,Uwe Schwiegelshohn Conference proceedings 2008 S

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发表于 2025-3-21 16:50:02 | 显示全部楼层 |阅读模式
书目名称Job Scheduling Strategies for Parallel Processing
副标题13th International W
编辑Eitan Frachtenberg,Uwe Schwiegelshohn
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Job Scheduling Strategies for Parallel Processing; 13th International W Eitan Frachtenberg,Uwe Schwiegelshohn Conference proceedings 2008 S
描述.This book constitutes the thoroughly refereed post-workshop proceedings of the 13th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2007, held in Seattle, WA, USA, in June 2007, in conjunction with the 21st ACM International Conference on Supercomputing, ICS 2007...The 10 revised full research papers presented went through the process of strict reviewing and subsequent improvement. The papers cover all current issues of job scheduling strategies for parallel processing from the supercomputer-centric viewpoint but also address many nontraditional high-performance computing and parallel environments that cannot or need not access a traditional supercomputer, such as grids, Web services, and commodity parallel computers. The papers are organized in topical sections on performance and tools, queueing systems, as well as grid and heterogeneous architectures..
出版日期Conference proceedings 2008
关键词Hochleistungsrechnen; Open Source; Scheduling; Supercomputer; adaptive job scheduling; cluster computing;
版次1
doihttps://doi.org/10.1007/978-3-540-78699-3
isbn_softcover978-3-540-78698-6
isbn_ebook978-3-540-78699-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2008
The information of publication is updating

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Avi Nissimov,Dror G. Feitelsonat the DSS models lacked in comprehensive problem representation was more than compensated for by the ease with which they could be run under alternative assumptions. The popularity of PCs at the managerial level and the development of friendly, generic software over the following decade greatly fac
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Martin W. Margo,Kenneth Yoshimoto,Patricia Kovatch,Phil Andrewsat the DSS models lacked in comprehensive problem representation was more than compensated for by the ease with which they could be run under alternative assumptions. The popularity of PCs at the managerial level and the development of friendly, generic software over the following decade greatly fac
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A Job Self-scheduling Policy for HPC Infrastructures,niques for dispatching the jobs that are submitted to a set of distributed computational hosts that are managed by independent schedulers (such as MOAB or LoadLeveler). It is a non-centralized and job-guided scheduling policy whose main goal is to optimize the job wait time. Thus, the scheduling dec
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Impact of Reservations on Production Job Scheduling,equest data to investigate different scheduling scenarios. We explored the effect of reservations and policies using job log data from two different months within consecutive years and present our initial results. Results from the simulations suggest that utilization, expansion factor and queue wait
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A Self-optimized Job Scheduler for Heterogeneous Server Clusters,s based on the Reinforcement Learning paradigm; it learns its estimation policy on-line and dynamically modifies it according to the overall cluster load. The paper includes simulation results which indicate that our algorithm can yield an improvement of over 30% in utilization (overall throughput)
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