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Abstract
Two new algorithms for the all-reduce operation optimized for imbalanced process arrival patterns (PAPs) are presented: (1) sorted linear tree, (2) pre-reduced ring as well as a new way of online PAP detection, including process arrival time estimations, and their distribution between cooperating processes was introduced. The idea, pseudo-code, implementation details, benchmark for performance evaluation and a real case example for machine learning are provided. The results of the experiments were described and analyzed, showing that the proposed solution has high scalability and improved performance in comparison with the usually used ring and Rabenseifner algorithms.
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- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
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JOURNAL OF SUPERCOMPUTING
no. 74,
pages 3071 - 3092,
ISSN: 0920-8542 - Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Proficz J.: Improving all-reduce collective operations for imbalanced process arrival patterns// JOURNAL OF SUPERCOMPUTING. -Vol. 74, iss. 7 (2018), s.3071-3092
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/s11227-018-2356-z
- Verified by:
- Gdańsk University of Technology
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