TY - GEN
T1 - Quantifying the Impact of Advanced Web Platforms on High Performance Computing Usage
AU - Rothwell, Bradlee
AU - Sgambati, Matthew
AU - Evans, Garrick
AU - Biggs, Brandon
AU - Anderson, Matthew W
N1 - Funding Information:
The authors would like to especially thank Ben Nickell for helpful conversations in developing this study. This research made use of the resources of the High Performance Computing Center at Idaho National Laboratory, which is supported by the Office of Nuclear Energy of the U.S. Department of Energy and the Nuclear Science User Facilities under Contract No. DE-AC07-05ID14517.
Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/7/8
Y1 - 2022/7/8
N2 - The deployment of Science Gateways for High Performance Computing (HPC) systems can alter long-accepted usage patterns on supercomputing systems in positive ways as an ever-increasing number of users migrate their workflows to HPC systems. Idaho National Laboratory (INL) has deployed two separate advanced web platforms, Open OnDemand and NICE DCV, for integration with HPC resources to improve web accessibility for HPC users. We conducted a multi-year study on how HPC usage patterns changed in the presence of these platforms. This work reports the results of that study and quantifies the observed impacts, including adoption by visualization and Jupyter Notebook/Lab users, decreased job submission friction, rapid uptake of HPC by Windows users, and increased overall system utilization. The most significant impacts were observed from the deployment of Open OnDemand, and this work also identifies some best practices for Open OnDemand deployment for HPC datacenters.
AB - The deployment of Science Gateways for High Performance Computing (HPC) systems can alter long-accepted usage patterns on supercomputing systems in positive ways as an ever-increasing number of users migrate their workflows to HPC systems. Idaho National Laboratory (INL) has deployed two separate advanced web platforms, Open OnDemand and NICE DCV, for integration with HPC resources to improve web accessibility for HPC users. We conducted a multi-year study on how HPC usage patterns changed in the presence of these platforms. This work reports the results of that study and quantifies the observed impacts, including adoption by visualization and Jupyter Notebook/Lab users, decreased job submission friction, rapid uptake of HPC by Windows users, and increased overall system utilization. The most significant impacts were observed from the deployment of Open OnDemand, and this work also identifies some best practices for Open OnDemand deployment for HPC datacenters.
UR - http://www.scopus.com/inward/record.url?scp=85135245925&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/b4d2a834-8251-39bf-81aa-7907a1be6ebc/
U2 - 10.1145/3491418.3530758
DO - 10.1145/3491418.3530758
M3 - Conference contribution
AN - SCOPUS:85135245925
T3 - PEARC 2022 Conference Series - Practice and Experience in Advanced Research Computing 2022 - Revolutionary: Computing, Connections, You
SP - 20:1-20:8
BT - PEARC 2022 Conference Series - Practice and Experience in Advanced Research Computing 2022 - Revolutionary: Computing, Connections, You
PB - Association for Computing Machinery, Inc
T2 - 2022 Conference on Practice and Experience in Advanced Research Computing: Revolutionary: Computing, Connections, You, PEARC 2022
Y2 - 10 July 2022 through 14 July 2022
ER -