NDLI: Scalable high-quality 1D partitioning

Content Provider	IEEE Xplore Digital Library
Author	Lieber, M. Nagel, W.E.
Copyright Year	2014
Description	Author affiliation: Tech. Univ. Dresden, Dresden, Germany (Lieber, M.; Nagel, W.E.)
Abstract	The decomposition of one-dimensional workload arrays into consecutive partitions is a core problem of many load balancing methods, especially those based on space-filling curves. While previous work has shown that heuristics can be parallelized, only sequential algorithms exist for the optimal solution. However, centralized partitioning will become infeasible in the exascale era due to the vast amount of tasks to be mapped to millions of processors. In this work, we first introduce optimizations to a published exact algorithm. Further, we investigate a hierarchical approach which combines a parallel heuristic and an exact algorithm to form a scalable and high-quality 1D partitioning algorithm. We compare load balance, execution time, and task migration of the algorithms for up to 262 144 processes using real-life workload data. The results show a 300 times speed-up compared to an existing fast exact algorithm, while achieving nearly the optimal load balance.
Starting Page	112
Ending Page	119
File Size	835799
Page Count	8
File Format	PDF
ISBN	9781479953127
e-ISBN	9781479953134
DOI	10.1109/HPCSim.2014.6903676
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-21
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Runtime Heuristic algorithms Atmospheric modeling Scalability High performance computing Dynamic load balancing Benchmark testing Vectors Partitioning algorithms Probes One-dimensional partitioning Hierarchical partitioning
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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