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Training-based Workforce Development in Advanced Computing for Research and Education (ACoRE)

Authors:

Semir Sarajlic,

Neranjan Edirisinghe,

Gregori FarouxAuthors Info & Claims

PEARC '17: Practice and Experience in Advanced Research Computing 2017: Sustainability, Success and Impact

Article No.: 71, Pages 1 - 4

https://doi.org/10.1145/3093338.3104178

Published: 09 July 2017 Publication History

Abstract

Data proliferation across all domains is enabled by the advancement in data sharing and procurement that has led to explosion in volume of data worldwide. The exponential growth in data has provided opportunities for machine learning algorithms and computational algorithms that benefit from greater availability of data. Access to robust and resilient high performance computing (HPC) resources is available through campus and/or national centers. The growth in demand for advanced computing resources from non-traditional HPC research community leads to an increasing strain on user-support at local centers and/or national programs such as XSEDE, which creates challenges. At Georgia State University (GSU), we have a diverse HPC user community of over 300 users whom represent more than 40 disciplines and use about four million CPU hours annually. We implemented a workforce development model to support our HPC community through a combination of local and external workshops as well as integration of HPC training within classes such as Big Data Programming, Scientific Computing, Parallel and Distributed Computing (PDC). As part of our approach, we consolidated our three disparate local HPC resources under one management system that provides a similar user environment to that of national resources part of XSEDE, which simplifies user transition from local to national resources.

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Sarajlic, S., Edirisinghe, N., Lukinov, Y., Walters, M., Davis, B., and Faroux, G (2016): HPC Strategic Model for Georgia State University: Discovery Environment for HPC Research and Bridging XSEDE Resources. Scientific Computing Day 2016. figshare.

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Cited By

Brashear WPerez LLeake ENite SPennings MStebenne SLiu HChakravorty D(2024)Cultivating Cyberinfrastructure Careers through Student Engagement at Texas A&M University High Performance Research ComputingPractice and Experience in Advanced Research Computing 2024: Human Powered Computing10.1145/3626203.3670544(1-6)Online publication date: 17-Jul-2024
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Karozis SZiouvelou XKarkaletsis V(2023)Mapping the national HPC ecosystem and training needs: The Greek paradigmThe Journal of Supercomputing10.1007/s11227-023-05080-y79:10(10691-10705)Online publication date: 15-Feb-2023
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Jezghani ASarajlic SBrandon MBright NBelgin MBeyer GBlanton CBuffington PCoulter JLara RLefton LLeonard DLiu FManalo KManno PMoseley CNightingale TBonner NRahaman RStone CSuda KWan PWeiner MWomack DZhang NZhou D(2022)Phoenix: The Revival of Research Computing and the Launch of the New Cost Model at Georgia TechPractice and Experience in Advanced Research Computing 2022: Revolutionary: Computing, Connections, You10.1145/3491418.3530767(1-9)Online publication date: 8-Jul-2022
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Training-based Workforce Development in Advanced Computing for Research and Education (ACoRE)

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cover image ACM Other conferences

PEARC '17: Practice and Experience in Advanced Research Computing 2017: Sustainability, Success and Impact

July 2017

451 pages

ISBN:9781450352727

DOI:10.1145/3093338

General Chair:
David Hart
National Center for Atmospheric Research

Copyright © 2017 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 09 July 2017

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PEARC17

PEARC17: Practice and Experience in Advanced Research Computing 2017

July 9 - 13, 2017

LA, New Orleans, USA

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PEARC '17 Paper Acceptance Rate 54 of 79 submissions, 68%;

Overall Acceptance Rate 133 of 202 submissions, 66%

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Cited By

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https://dl.acm.org/doi/10.1145/3626203.3670544
Karozis SZiouvelou XKarkaletsis V(2023)Mapping the national HPC ecosystem and training needs: The Greek paradigmThe Journal of Supercomputing10.1007/s11227-023-05080-y79:10(10691-10705)Online publication date: 15-Feb-2023
https://dl.acm.org/doi/10.1007/s11227-023-05080-y
Jezghani ASarajlic SBrandon MBright NBelgin MBeyer GBlanton CBuffington PCoulter JLara RLefton LLeonard DLiu FManalo KManno PMoseley CNightingale TBonner NRahaman RStone CSuda KWan PWeiner MWomack DZhang NZhou D(2022)Phoenix: The Revival of Research Computing and the Launch of the New Cost Model at Georgia TechPractice and Experience in Advanced Research Computing 2022: Revolutionary: Computing, Connections, You10.1145/3491418.3530767(1-9)Online publication date: 8-Jul-2022
https://dl.acm.org/doi/10.1145/3491418.3530767
Rump MKozma MPawar SDerby C(2021)G protein-coupled receptors as candidates for modulation and activation of the chemical senses in decapod crustaceansPLOS ONE10.1371/journal.pone.025206616:6(e0252066)Online publication date: 4-Jun-2021
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Mashiku MEdirisinghe NFurlani T(2019)Serverless Science Gateway Development for Ca2+ binding site prediction on Amazon Web ServicesPractice and Experience in Advanced Research Computing 2019: Rise of the Machines (learning)10.1145/3332186.3333050(1-5)Online publication date: 28-Jul-2019
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Orozco-Gonzalez YKabir MGozem S(2019)Electrostatic Spectral Tuning Maps for Biological ChromophoresThe Journal of Physical Chemistry B10.1021/acs.jpcb.9b00489123:23(4813-4824)Online publication date: 14-Mar-2019
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Sarajlic OHe XSarajlic SWei TSanielevici S(2018)Computational Challenges and Opportunities of Simulating Cosmic Ray Showers at Global ScaleProceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity10.1145/3219104.3229281(1-7)Online publication date: 22-Jul-2018
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Sarajlic SChastang JMarru SFischer JLowe MSanielevici S(2018)Scaling JupyterHub Using Kubernetes on Jetstream CloudProceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity10.1145/3219104.3229249(1-4)Online publication date: 22-Jul-2018
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Shaw ESul CSanielevici S(2018)Evaluation of ACI Training on User PreparednessProceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity10.1145/3219104.3219130(1-6)Online publication date: 22-Jul-2018
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