@inproceedings{
 title = {The PHASTA Science Gateway},
 type = {inproceedings},
 year = {2017},
 keywords = {ACM proceedings,Apache Airavata,LATEX,Science Gateway,Text tagging},
 pages = {1-4},
 volume = {Part F1287},
 websites = {http://dl.acm.org/citation.cfm?doid=3093338.3104151},
 month = {7},
 publisher = {ACM Press},
 day = {9},
 city = {New York, New York, USA},
 id = {694f8bb7-9ee8-30ae-9c01-cc454dd2479e},
 created = {2019-10-01T17:20:22.510Z},
 accessed = {2019-09-12},
 file_attached = {true},
 profile_id = {42d295c0-0737-38d6-8b43-508cab6ea85d},
 last_modified = {2020-05-11T14:43:43.797Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Smith2017},
 private_publication = {false},
 abstract = {The Parallel Hierarchic Adaptive Stabilized Transient Analysis (PHASTA) software supports modeling compressible or incompressible, laminar or turbulent, steady or unsteady flows in 3D using unstructured grids. PHASTA, coupled with the Parallel Unstructured Mesh Infrastructure (PUMI), supports parallel, automated, adaptive simulation workflows. Researchers can easily execute these workflows on the TACC Stampede Xeon and Knights Landing nodes without being burdened by the details of each system using the PHASTA science gateway (created with Apache Airavata). In addition to abstracting away job execution and filesystem details, the gateway creates a searchable archive of past jobs to support reproducibility. Our poster presents the construction of the PHASTA gateway, the workflows it currently supports, and our ongoing efforts to expand functionality and the user base.},
 bibtype = {inproceedings},
 author = {Smith, Cameron W. and Abeysinghe, Eroma},
 doi = {10.1145/3093338.3104151},
 booktitle = {Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact - PEARC17}
}

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C., W.","Abeysinghe, E."],"bibdata":{"title":"The PHASTA Science Gateway","type":"inproceedings","year":"2017","keywords":"ACM proceedings,Apache Airavata,LATEX,Science Gateway,Text tagging","pages":"1-4","volume":"Part F1287","websites":"http://dl.acm.org/citation.cfm?doid=3093338.3104151","month":"7","publisher":"ACM Press","day":"9","city":"New York, New York, USA","id":"694f8bb7-9ee8-30ae-9c01-cc454dd2479e","created":"2019-10-01T17:20:22.510Z","accessed":"2019-09-12","file_attached":"true","profile_id":"42d295c0-0737-38d6-8b43-508cab6ea85d","last_modified":"2020-05-11T14:43:43.797Z","read":false,"starred":false,"authored":"true","confirmed":"true","hidden":false,"citation_key":"Smith2017","private_publication":false,"abstract":"The Parallel Hierarchic Adaptive Stabilized Transient Analysis (PHASTA) software supports modeling compressible or incompressible, laminar or turbulent, steady or unsteady flows in 3D using unstructured grids. PHASTA, coupled with the Parallel Unstructured Mesh Infrastructure (PUMI), supports parallel, automated, adaptive simulation workflows. Researchers can easily execute these workflows on the TACC Stampede Xeon and Knights Landing nodes without being burdened by the details of each system using the PHASTA science gateway (created with Apache Airavata). In addition to abstracting away job execution and filesystem details, the gateway creates a searchable archive of past jobs to support reproducibility. Our poster presents the construction of the PHASTA gateway, the workflows it currently supports, and our ongoing efforts to expand functionality and the user base.","bibtype":"inproceedings","author":"Smith, Cameron W. and Abeysinghe, Eroma","doi":"10.1145/3093338.3104151","booktitle":"Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact - PEARC17","bibtex":"@inproceedings{\n title = {The PHASTA Science Gateway},\n type = {inproceedings},\n year = {2017},\n keywords = {ACM proceedings,Apache Airavata,LATEX,Science Gateway,Text tagging},\n pages = {1-4},\n volume = {Part F1287},\n websites = {http://dl.acm.org/citation.cfm?doid=3093338.3104151},\n month = {7},\n publisher = {ACM Press},\n day = {9},\n city = {New York, New York, USA},\n id = {694f8bb7-9ee8-30ae-9c01-cc454dd2479e},\n created = {2019-10-01T17:20:22.510Z},\n accessed = {2019-09-12},\n file_attached = {true},\n profile_id = {42d295c0-0737-38d6-8b43-508cab6ea85d},\n last_modified = {2020-05-11T14:43:43.797Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Smith2017},\n private_publication = {false},\n abstract = {The Parallel Hierarchic Adaptive Stabilized Transient Analysis (PHASTA) software supports modeling compressible or incompressible, laminar or turbulent, steady or unsteady flows in 3D using unstructured grids. PHASTA, coupled with the Parallel Unstructured Mesh Infrastructure (PUMI), supports parallel, automated, adaptive simulation workflows. Researchers can easily execute these workflows on the TACC Stampede Xeon and Knights Landing nodes without being burdened by the details of each system using the PHASTA science gateway (created with Apache Airavata). In addition to abstracting away job execution and filesystem details, the gateway creates a searchable archive of past jobs to support reproducibility. 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