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2018 | OriginalPaper | Chapter

The Impact of Taskyield on the Design of Tasks Communicating Through MPI

Authors : Joseph Schuchart, Keisuke Tsugane, José Gracia, Mitsuhisa Sato

Published in: Evolving OpenMP for Evolving Architectures

Publisher: Springer International Publishing

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Abstract

The OpenMP tasking directives promise to help expose a higher degree of concurrency to the runtime than traditional worksharing constructs, which is especially useful for irregular applications. In combination with process-based parallelization such as MPI, the taskyield construct in OpenMP can become a crucial aspect as it helps to hide communication latencies by allowing a thread to execute other tasks while completion of the communication operation is pending. Unfortunately, the OpenMP standard only provides little guarantees on the characteristics of the taskyield operation. In this paper, we explore different potential implementations of taskyield and present a portable black-box tool for detecting the actual implementation used in existing OpenMP compilers/runtimes. Furthermore, we discuss the impact of the different taskyield implementations on the task design of the communication-heavy Blocked Cholesky Factorization and the difference in performance that can be observed, which we found to be over 20 %.

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Literature
1.
go back to reference Akhmetova, D., Iakymchuk, R., Ekeberg, O., Laure, E.: Performance study of multithreaded MPI and OpenMP tasking in a large scientific code. In: 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May 2017. https://doi.org/10.1109/IPDPSW.2017.128 Akhmetova, D., Iakymchuk, R., Ekeberg, O., Laure, E.: Performance study of multithreaded MPI and OpenMP tasking in a large scientific code. In: 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May 2017. https://​doi.​org/​10.​1109/​IPDPSW.​2017.​128
9.
go back to reference Tsugane, K., Lee, J., Murai, H., Sato, M.: Multi-tasking execution in PGAS language XcalableMP and communication optimization on many-core clusters. In: Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region. HPC Asia 2018. ACM (2018). https://doi.org/10.1145/3149457.3154482 Tsugane, K., Lee, J., Murai, H., Sato, M.: Multi-tasking execution in PGAS language XcalableMP and communication optimization on many-core clusters. In: Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region. HPC Asia 2018. ACM (2018). https://​doi.​org/​10.​1145/​3149457.​3154482
Metadata
Title
The Impact of Taskyield on the Design of Tasks Communicating Through MPI
Authors
Joseph Schuchart
Keisuke Tsugane
José Gracia
Mitsuhisa Sato
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-98521-3_1