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API Development Increases Access to Shared Computing Resources at Boston University
Within the last few decades, increases in computational resources have contributed enormously to the progress of science and engineering (S & E). To continue making rapid advancements, the S & E community must be able to access computing resources. One way to provide such resources is throug...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779984/ https://www.ncbi.nlm.nih.gov/pubmed/36568682 http://dx.doi.org/10.4236/jsea.2022.156011 |
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author | Jones, George Wakefield, Amanda E. Triplett, Jeff Idrissa, Kojo Goebel, James Kozakov, Dima Vajda, Sandor |
author_facet | Jones, George Wakefield, Amanda E. Triplett, Jeff Idrissa, Kojo Goebel, James Kozakov, Dima Vajda, Sandor |
author_sort | Jones, George |
collection | PubMed |
description | Within the last few decades, increases in computational resources have contributed enormously to the progress of science and engineering (S & E). To continue making rapid advancements, the S & E community must be able to access computing resources. One way to provide such resources is through High-Performance Computing (HPC) centers. Many academic research institutions offer their own HPC Centers but struggle to make the computing resources easily accessible and user-friendly. Here we present SHABU, a RESTful Web API framework that enables S & E communities to access resources from Boston University’s Shared Computing Center (SCC). The SHABU requirements are derived from the use cases described in this work. |
format | Online Article Text |
id | pubmed-9779984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-97799842022-12-22 API Development Increases Access to Shared Computing Resources at Boston University Jones, George Wakefield, Amanda E. Triplett, Jeff Idrissa, Kojo Goebel, James Kozakov, Dima Vajda, Sandor J Softw Eng Appl Article Within the last few decades, increases in computational resources have contributed enormously to the progress of science and engineering (S & E). To continue making rapid advancements, the S & E community must be able to access computing resources. One way to provide such resources is through High-Performance Computing (HPC) centers. Many academic research institutions offer their own HPC Centers but struggle to make the computing resources easily accessible and user-friendly. Here we present SHABU, a RESTful Web API framework that enables S & E communities to access resources from Boston University’s Shared Computing Center (SCC). The SHABU requirements are derived from the use cases described in this work. 2022-06 2022-06-29 /pmc/articles/PMC9779984/ /pubmed/36568682 http://dx.doi.org/10.4236/jsea.2022.156011 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) |
spellingShingle | Article Jones, George Wakefield, Amanda E. Triplett, Jeff Idrissa, Kojo Goebel, James Kozakov, Dima Vajda, Sandor API Development Increases Access to Shared Computing Resources at Boston University |
title | API Development Increases Access to Shared Computing Resources at Boston University |
title_full | API Development Increases Access to Shared Computing Resources at Boston University |
title_fullStr | API Development Increases Access to Shared Computing Resources at Boston University |
title_full_unstemmed | API Development Increases Access to Shared Computing Resources at Boston University |
title_short | API Development Increases Access to Shared Computing Resources at Boston University |
title_sort | api development increases access to shared computing resources at boston university |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779984/ https://www.ncbi.nlm.nih.gov/pubmed/36568682 http://dx.doi.org/10.4236/jsea.2022.156011 |
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