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A Serverless Tool for Platform Agnostic Computational Experiment Management
Neuroscience has been carried into the domain of big data and high performance computing (HPC) on the backs of initiatives in data collection and an increasingly compute-intensive tools. While managing HPC experiments requires considerable technical acumen, platforms, and standards have been develop...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6411646/ https://www.ncbi.nlm.nih.gov/pubmed/30890927 http://dx.doi.org/10.3389/fninf.2019.00012 |
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author | Kiar, Gregory Brown, Shawn T. Glatard, Tristan Evans, Alan C. |
author_facet | Kiar, Gregory Brown, Shawn T. Glatard, Tristan Evans, Alan C. |
author_sort | Kiar, Gregory |
collection | PubMed |
description | Neuroscience has been carried into the domain of big data and high performance computing (HPC) on the backs of initiatives in data collection and an increasingly compute-intensive tools. While managing HPC experiments requires considerable technical acumen, platforms, and standards have been developed to ease this burden on scientists. While web-portals make resources widely accessible, data organizations such as the Brain Imaging Data Structure and tool description languages such as Boutiques provide researchers with a foothold to tackle these problems using their own datasets, pipelines, and environments. While these standards lower the barrier to adoption of HPC and cloud systems for neuroscience applications, they still require the consolidation of disparate domain-specific knowledge. We present Clowdr, a lightweight tool to launch experiments on HPC systems and clouds, record rich execution records, and enable the accessible sharing and re-launch of experimental summaries and results. Clowdr uniquely sits between web platforms and bare-metal applications for experiment management by preserving the flexibility of do-it-yourself solutions while providing a low barrier for developing, deploying and disseminating neuroscientific analysis. |
format | Online Article Text |
id | pubmed-6411646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64116462019-03-19 A Serverless Tool for Platform Agnostic Computational Experiment Management Kiar, Gregory Brown, Shawn T. Glatard, Tristan Evans, Alan C. Front Neuroinform Neuroscience Neuroscience has been carried into the domain of big data and high performance computing (HPC) on the backs of initiatives in data collection and an increasingly compute-intensive tools. While managing HPC experiments requires considerable technical acumen, platforms, and standards have been developed to ease this burden on scientists. While web-portals make resources widely accessible, data organizations such as the Brain Imaging Data Structure and tool description languages such as Boutiques provide researchers with a foothold to tackle these problems using their own datasets, pipelines, and environments. While these standards lower the barrier to adoption of HPC and cloud systems for neuroscience applications, they still require the consolidation of disparate domain-specific knowledge. We present Clowdr, a lightweight tool to launch experiments on HPC systems and clouds, record rich execution records, and enable the accessible sharing and re-launch of experimental summaries and results. Clowdr uniquely sits between web platforms and bare-metal applications for experiment management by preserving the flexibility of do-it-yourself solutions while providing a low barrier for developing, deploying and disseminating neuroscientific analysis. Frontiers Media S.A. 2019-03-05 /pmc/articles/PMC6411646/ /pubmed/30890927 http://dx.doi.org/10.3389/fninf.2019.00012 Text en Copyright © 2019 Kiar, Brown, Glatard and Evans. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Kiar, Gregory Brown, Shawn T. Glatard, Tristan Evans, Alan C. A Serverless Tool for Platform Agnostic Computational Experiment Management |
title | A Serverless Tool for Platform Agnostic Computational Experiment Management |
title_full | A Serverless Tool for Platform Agnostic Computational Experiment Management |
title_fullStr | A Serverless Tool for Platform Agnostic Computational Experiment Management |
title_full_unstemmed | A Serverless Tool for Platform Agnostic Computational Experiment Management |
title_short | A Serverless Tool for Platform Agnostic Computational Experiment Management |
title_sort | serverless tool for platform agnostic computational experiment management |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6411646/ https://www.ncbi.nlm.nih.gov/pubmed/30890927 http://dx.doi.org/10.3389/fninf.2019.00012 |
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