TY - GEN
T1 - The USD science gateway
T2 - 2019 Conference on Practice and Experience in Advanced Research Computing: Rise of the Machines (Learning), PEARC 2019
AU - Kleinsasser, Adison A.
AU - Madison, Joseph D.
AU - Abeysinghe, Eroma
AU - Pamidighantam, Sudhakar
AU - Christie, Marcus
AU - Marru, Suresh
AU - Jennewein, Douglas M.
AU - Pierce, Marlon
N1 - Funding Information:
The USD Research Computing Group Science Gateway was implemented with support from the Science Gateways Community Institute (NSF award #1547611). Development of the Apache Airavata used to develop the Science Gateway is supported by NSF award #1339774. The USD Lawrence cluster was obtained through a combination of state and federal funding: a FY16 SD Board of Regents Research and Development Innovation award, and National Science Foundation Major Research Instrumentation award #1626516.
Publisher Copyright:
© 2019 Copyright is held by the owner/author(s). Publication rights licensed to ACM.
PY - 2019/7/28
Y1 - 2019/7/28
N2 - Science Gateways are virtual environments that accelerate scientific discovery by enabling scientific communities to more easily and effectively utilize distributed computing and data resources. Successful Science Gateways provide access to sophisticated and powerful resources, while shielding their users from the underlying complexities. Here we present updated work completed by the University of South Dakota (USD) Research Computing Group in conjunction with the Science Gateways Community Institute (SGCI) [1] and Science Gateways Research Center at Indiana University to set up a Science Gateway to access USD’s high-performance computing resources. We also introduce improvements to the system since the previous presentation of our work. These resources are now available to both faculty and students and allow ease of access and use of USD’s distributed computing and data resources. The implementation of this gateway project has been multifaceted and has included placement of federated user login, user facilitation and outreach, and integration of USD’s cyberinfrastructure resources. We present this project as an example for other research computing groups so that they may learn from our successes and the challenges that we have overcome in providing this user resource. Additionally, this project serves to exemplify the importance of creating a broad user base of research computing infrastructure through the development of alternative user interfaces such as Science Gateways.
AB - Science Gateways are virtual environments that accelerate scientific discovery by enabling scientific communities to more easily and effectively utilize distributed computing and data resources. Successful Science Gateways provide access to sophisticated and powerful resources, while shielding their users from the underlying complexities. Here we present updated work completed by the University of South Dakota (USD) Research Computing Group in conjunction with the Science Gateways Community Institute (SGCI) [1] and Science Gateways Research Center at Indiana University to set up a Science Gateway to access USD’s high-performance computing resources. We also introduce improvements to the system since the previous presentation of our work. These resources are now available to both faculty and students and allow ease of access and use of USD’s distributed computing and data resources. The implementation of this gateway project has been multifaceted and has included placement of federated user login, user facilitation and outreach, and integration of USD’s cyberinfrastructure resources. We present this project as an example for other research computing groups so that they may learn from our successes and the challenges that we have overcome in providing this user resource. Additionally, this project serves to exemplify the importance of creating a broad user base of research computing infrastructure through the development of alternative user interfaces such as Science Gateways.
KW - Apache Airavata
KW - Gateway
KW - Keycloak
KW - SciGaP
UR - http://www.scopus.com/inward/record.url?scp=85071028937&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85071028937&partnerID=8YFLogxK
U2 - 10.1145/3332186.3333254
DO - 10.1145/3332186.3333254
M3 - Conference contribution
AN - SCOPUS:85071028937
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the Practice and Experience in Advanced Research Computing
PB - Association for Computing Machinery
Y2 - 28 July 2019 through 1 August 2019
ER -