ExaSU: a mathematical model for selecting the structured or unstructured resource discovery mechanism in distributed exascale computing environments
Author:
Publisher
Springer Science and Business Media LLC
Subject
Community and Home Care
Link
https://link.springer.com/content/pdf/10.1007/s42514-022-00129-5.pdf
Reference28 articles.
1. Abraham, E., et al. "Preparing HPC applications for exascale: Challenges and recommendations." 2015 18th International Conference on Network-Based Information Systems. IEEE, 2015.
2. Adibi, E., Khaneghah, E. M. "Challenges of resource discovery to support distributed exascale computing environment." Azerbaijan Journal of High Performance Computing. 1.2 (2018): 168–178.
3. Adibi, E., Mousavi Khaneghah, E. ExaRD: introducing a framework for empowerment of resource discovery to support distributed exascale computing systems with high consistency. Cluster Computing (2020): 1–21.
4. Allen, G. et al. The Cactus Worm: Experiments with dynamic resource discovery and allocation in a grid environment. The International Journal of High Performance Computing Applications 15.4 (2001): 345–358.
5. Bakhishoff, U., et al. "DTHMM ExaLB: discrete-time hidden Markov model for load balancing in distributed exascale computing environment. Cogent Eng. 7.1 (2020): 1743404.
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