K-way spectral graph partitioning for load balancing in parallel computing-Reference-Cited by-同舟云学术

K-way spectral graph partitioning for load balancing in parallel computing

Published:2021-08-24 Issue:5 Volume:13 Page:1893-1900
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Patil S. V.,Kulkarni D. B.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s41870-021-00777-w.pdf

Reference25 articles.

1. Doe J (2015) Load balancing strategies in parallel computing: short survey

2. Buluç A, Meyerhenke H, Safro I, Sanders P, Schulz C (2016) Recent advances in graph partitioning. Algorithm Eng 117–158

3. Sakouhi C, Khaldi A, Ghezal HB (2018) An overview of recent graph partitioning algorithms. In: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA) (pp. 408–414). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp)

4. Onizuka M, Fujimori T, Shiokawa H (2017) Graph partitioning for distributed graph processing. Data Sci Eng 2(1):94–105

5. Pothen A (1997) Graph partitioning algorithms with applications to scientific computing. In: Parallel Numerical Algorithms, pp 323–368. Springer, Dordrecht

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