Improving the Start-Up Time of Python Applications on Large Scale HPC Systems

Author:

MacLean Colin A.1,Leong HonWai1,Enos Jeremy1

Affiliation:

1. National Center for Supercomputing Applications, Urbana, Illinois

Funder

National Science Foundation

Publisher

ACM

Reference15 articles.

1. Adaptive Computing Enterprises Inc. Torque Resource Manager Administrator Guide 6.1.1. http://docs.adaptivecomputing.com Adaptive Computing Enterprises Inc. Torque Resource Manager Administrator Guide 6.1.1. http://docs.adaptivecomputing.com

2. B. Bode et al. The Blue Waters Super-System for Super-Science Contemporary HPC Architectures Sitka Publications November 2012 B. Bode et al. The Blue Waters Super-System for Super-Science Contemporary HPC Architectures Sitka Publications November 2012

3. Cray Inc. CLE User Application Placement Guide CLE5.2UP04 S-2496. https://pubs.cray.com Cray Inc. CLE User Application Placement Guide CLE5.2UP04 S-2496. https://pubs.cray.com

4. M. Gusarov unshare(2) - Linux man page https://linux.die.net/man/2/unshare. M. Gusarov unshare(2) - Linux man page https://linux.die.net/man/2/unshare.

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1. Lazy Python Dependency Management in Large-Scale Systems;2023 IEEE 19th International Conference on e-Science (e-Science);2023-10-09

2. Python-based in situ analysis and visualization;Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization;2018-11-11

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