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A Distributed Chunk Calculation Approach for Self-scheduling of Parallel Applications on Distributed-memory Systems

Type of publication Peer-reviewed
Publikationsform Original article (peer-reviewed)
Author Eleliemy Ahmed, Ciorba Florina M.,
Project Multilevel Scheduling in Large Scale High Performance Computers
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Original article (peer-reviewed)

Journal Journal of Computational Science (JOCS2021)
Volume (Issue) 5
Page(s) 101284
Title of proceedings Journal of Computational Science (JOCS2021)
DOI 10.1016/j.jocs.2020.101284

Open Access

URL http://doi.org/10.1016/j.jocs.2020.101284
Type of Open Access Publisher (Gold Open Access)

Abstract

Loop scheduling techniques aim to achieve load-balanced executions of scientific applications. Dynamic loop self-scheduling (DLS) libraries for distributed-memory systems are typically MPI-based and employ a centralized chunk calculation approach (CCA) to assign variably-sized chunks of loop iterations. We present a distributed chunk calculation approach (DCA) that supports various types of DLS techniques. Using both CCA and DCA, twelve DLS techniques are implemented and evaluated in different CPU slowdown scenarios. The results show that the DLS techniques implemented using DCA outperform their corresponding ones implemented with CCA, especially in extreme system slowdown scenarios.
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