Partitioned Parallel Job Scheduling for Extreme Scale Computing-Reference-Cited by-同舟云学术

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Partitioned Parallel Job Scheduling for Extreme Scale Computing

Published:2013 Issue: Volume: Page:157-177
ISSN:0302-9743
Container-title:Job Scheduling Strategies for Parallel Processing
language:
Short-container-title:

Author:

Brelsford David,Chochia George,Falk Nathan,Marthi Kailash,Sure Ravindra,Bobroff Norman,Fong Liana,Seelam Seetharami

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-35867-8_9.pdf

Reference21 articles.

1. DARPA High Productivity Computing Systems project, http://www.darpa.mil/IPTO/programs/hpcs/hpcs.asp

2. External Data Represenation Standard, http://tools.ietf.org/html/rfc1014

3. IBM Parallel Environment (PE), http://www-03.ibm.com/systems/software/parallel/index.html

4. IBM Tivoli Workload Scheduler LoadLeveler, http://publib.boulder.ibm.com/-infocenter/clresctr/vxrx/index.jsp

5. IBM Tivoli Workload Scheduler LoadLeveler Version 4.1, http://www-01.ibm.com/common/ssi/rep_ca/5/897/ENUS210-145/ENUS210-145.PDF

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Autoscaling MPI Cluster using OpenMPI and OpenStack cloud services;2023 27th International Conference on System Theory, Control and Computing (ICSTCC);2023-10-11

2. Cooperative and non-cooperative algorithms for distributed parallel jobs scheduling;Flexible Services and Manufacturing Journal;2022-09-22

3. Twister2 Cross‐platform resource scheduler for big data;Concurrency and Computation: Practice and Experience;2021-07-27

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