Abstract
Variations in High Performance Computing (HPC) system software configurations mean that applications are typically configured and built for specific HPC environments. Building applications can require a significant investment of time and effort for application users and requires application users to have additional technical knowledge. Linux container technologies such as Docker and Charliecloud bring great benefits to the application development, build and deployment processes. While cloud platforms already widely support containers, HPC systems still have non-uniform support of container technologies. In this work, we propose a unified runtime framework - Build and Execution Environment (BEE) across both HPC and cloud platforms that allows users to run their containerized HPC applications across all supported platforms without modification. We design four BEE backends for four different classes of HPC or cloud platform so that together they cover the majority of mainstream computing platforms for HPC users. Evaluations show that BEE provides an easy-to-use unified user interface, execution environment, and comparable performance.
Original language | English |
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Title of host publication | Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018 |
Editors | Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey Saltz |
Pages | 1737-1746 |
Number of pages | 10 |
ISBN (Electronic) | 9781538650356 |
DOIs | |
State | Published - Jul 2 2018 |
Event | 2018 IEEE International Conference on Big Data, Big Data 2018 - Seattle, United States Duration: Dec 10 2018 → Dec 13 2018 |
Publication series
Name | Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018 |
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Conference
Conference | 2018 IEEE International Conference on Big Data, Big Data 2018 |
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Country/Territory | United States |
City | Seattle |
Period | 12/10/18 → 12/13/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- cloud computing
- container
- high performance computing
ASJC Scopus subject areas
- Computer Science Applications
- Information Systems