A Case Study on PMIx-Usage for Dynamic Resource Management
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Publisher
Springer Nature Switzerland
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https://link.springer.com/content/pdf/10.1007/978-3-031-40843-4_4
Reference24 articles.
1. asyncio - asynchronous i/o. https://docs.python.org/3/library/asyncio.html
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3. Ahn, D.H., Garlick, J., Grondona, M., Lipari, D., Springmeyer, B., Schulz, M.: Flux: a next-generation resource management framework for large HPC centers. In: 2014 43rd International Conference on Parallel Processing Workshops, pp. 9–17 (2014). https://doi.org/10.1109/ICPPW.2014.15
4. Aliaga, J., Castillo, M., Iserte, S., Martin-Alvarez, I., Mayo, R.: A survey on malleability solutions for high-performance distributed computing. Appl. Sci. 12, 5231 (2022). https://doi.org/10.3390/app12105231
5. Bampis, E., Dogeas, K., Kononov, A., Lucarelli, G., Pascual, F.: Scheduling malleable jobs under topological constraints. In: 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Los Alamitos, CA, USA, pp. 316–325. IEEE Computer Society (2020). https://doi.org/10.1109/IPDPS47924.2020.00041
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