On the trade‐off of mixing scientific applications on capacity high‐performance computing systems
Author:
Affiliation:
1. Barcelona Supercomputing CenterBarcelonaSpain
2. IBM ResearchZurichSwitzerland
3. University of CantabriaSantanderSpain
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Hardware and Architecture,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cdt.2012.0059
Reference18 articles.
1. Communication requirements and interconnect optimization for high‐end scientific applications;Kamil S.;IEEE Trans. Parallel Distrib. Syst.,2010
2. Subramani V. Kettimuthu R. Srinivasan S. Johnston J. Sadayappan P.: ‘Selective buddy allocation for scheduling parallel jobs on clusters’.Proc. IEEE Int. Conf. on Cluster Computing ser. CLUSTER'02 IEEE Computer Society Washington DC USA September2002 p.107
3. Navaridas J. Pascual J.A. Alonso J.M.: ‘Effects of job and task placement on parallel scientific applications performance’.Euromicro Int. Conf. on Parallel Distributed and Network‐based Processing Washington DC USA September2009 pp.55–61
4. Jokanovic A. Rodriguez G. Sancho J.C. Labarta J.: ‘Impact of inter‐application contention in current and future HPC systems’.Proc. 2010 18th IEEE Symp. on High Performance Interconnects ser. HOTI'10 IEEE Computer Society Washington DC USA August2010 pp.15–24
5. Fat-tree routing and node ordering providing contention free traffic for MPI global collectives
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1. Reducing the Impact of Interjob Interference in Dragonfly Networks Using Virtual Partitions;IEEE Micro;2022-05-01
2. Joint Effects of Application Communication Pattern, Job Placement and Network Routing on Fat-Tree Systems;Proceedings of the 47th International Conference on Parallel Processing Companion;2018-08-13
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