Reference:Reference-016851: Difference between revisions
From CSDMS
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|Semantic_ID=273609a7722e7faf387c00f0ac7c6f1db14e7c7f | |Semantic_ID=273609a7722e7faf387c00f0ac7c6f1db14e7c7f |CorpusID=17467001 | ||
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|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |PublicationNrofModels=a single module | ||
Latest revision as of 07:45, 8 October 2024
| Author(s) | Rao, Vishwas; Cioaca, Alexandru; Sandu, Adrian; |
| BibType | conferencePaper |
| Title | A Highly Scalable Approach for Time Parallelization of Long Range Forecasts |
| Editors | |
| Year | 2012-11 |
| Journal | |
| Booktitle | |
| Volume | |
| Pages | 609–616 |
| URL | https://ieeexplore.ieee.org/document/6495867/ |
| DOI | 10.1109/SC.Companion.2012.85 |
| ISBN | |
| Note | Auto downloaded ref at: 2022-02-18
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 273609a7722e7faf387c00f0ac7c6f1db14e7c7f |
| Nr of citations | 1 |
| 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: |
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| Model(s) discussed: | WRF
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