Comparing Distributed Termination Detection Algorithms for Modern HPC Platforms
Author:
Affiliation:
1. EECS, Innovative Computing Laboratory
2. Barcelona Supercomputing Center
3. Laboratoire LIP, ENS Lyon Innovative Computing Laboratory
Publisher
IJNC Editorial Committee
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/ijnc/12/1/12_26/_pdf
Reference28 articles.
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2. [2] G. Bosilca, A. Bouteiller, A. Danalis, M. Faverge, T. Herault, and J. J. Dongarra. PaRSEC: Exploiting Heterogeneity to Enhance Scalability. Computing in Science Engineering, 15(6):36–45, 2013.
3. [3] George Bosilca, Aurélien Bouteiller, Thomas Herault, Valentin Le Fèvre, Yves Robert, and Jack Dongarra. Revisiting credit distribution algorithms for distributed termination detection. In 23rd Workshop on Advances in Parallel and Distributed Computational Models (APDCM'21), held in conjunction with the 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS'21), 2021.
4. [4] K. Mani Chandy and Leslie Lamport. Distributed Snapshots: Determining Global States of Distributed Systems. ACM Trans. Comput. Syst., 3(1):63–75, 1985.
5. [5] S. De, M. Sameeruddin, V. Sharma, N. Nandi, and H. Dutta. A new termination detection protocol for mobile distributed systems. In 10th International Conference on Information Technology (ICIT 2007), pages 148–150, Dec 2007.
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