Reference:Reference-011798: Difference between revisions

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|PublicationClusterID=0
|PublicationClusterID=0
|MS_PublicationClusterID=2800445527
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|Semantic_ID=38f0225086eae395f67ee641b48fb2010c97b4b4
|Semantic_ID=38f0225086eae395f67ee641b48fb2010c97b4b4 |CorpusID=20637109
|CorpusID=20637109
|PublicationWhatKindOf=a module application description
|PublicationWhatKindOf=a module application description
|PublicationNrofModels=a single module
|PublicationNrofModels=a single module

Latest revision as of 15:49, 8 October 2024



Author(s) Ding, Nan; Xu, Shiming; Song, Zhenya; Zhang, Baoquan; Li, Jingmei; Zheng, Zhigao;
BibType journalArticle
Title Using hardware counter-based performance model to diagnose scaling issues of HPC applications
Editors
Year 2019-05-01
Journal Neural Computing and Applications
Booktitle
Volume 31
Pages 1563–1575
URL http://link.springer.com/10.1007/s00521-018-3496-z
DOI 10.1007/s00521-018-3496-z
ISBN
Note Auto downloaded ref at: 2020-07-04


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 2800445527
Semantic_ID 38f0225086eae395f67ee641b48fb2010c97b4b4
Nr of citations 10
Sort of publication a module application description
Sort of model publication a single module
Is the CSDMS HPC used No
If HPC is used, for what project was it?:
Associated simulation movie if any:


Model(s) discussed: OpenFOAM