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A Taxonomy of Task-Based Parallel Programming Technologies for High-Performance Computing

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Název: A Taxonomy of Task-Based Parallel Programming Technologies for High-Performance Computing
Autoři: Peter Thoman, Kiril Dichev, Khalid Hasanov, Roman Iakymchuk, Xavier Aguilar, Thomas Heller, Philipp Gschwandtner, Pierre Lemarinier, Stefano Markidis, Herbert Jordan, Thomas Fahringer, Kostas Katrinis, Erwin Laure, Dimitrios~S. Nikolopoulos
Informace o vydavateli: Zenodo
Rok vydání: 2017
Sbírka: Zenodo
Témata: High-performance computing, task-based parallelism, taxonomy, API, runtime system, scheduler, monitoring framework, fault tolerance
Popis: Task-based programming models for shared memory -- such as Cilk Plus and OpenMP 3 -- are well established and documented. However, with the increase in parallel, many-core and heterogeneous systems, a number of research-driven projects have developed more diversified task-based support, employing various programming and runtime features. Unfortunately, despite the fact that dozens of different task-based systems exist today and are actively used for parallel and high-performance computing (HPC), no comprehensive overview or classification of task-based technologies for HPC exists. In this paper, we provide an initial task-focused taxonomy for HPC technologies, which covers both programming interfaces and runtime mechanisms. We demonstrate the usefulness of our taxonomy by classifying state-of-the-art task-based environments in use today.
Druh dokumentu: report
Jazyk: English
Relation: https://zenodo.org/communities/eu/; https://zenodo.org/records/1119095; oai:zenodo.org:1119095; https://doi.org/10.5281/zenodo.1119095
DOI: 10.5281/zenodo.1119095
Dostupnost: https://doi.org/10.5281/zenodo.1119095
https://zenodo.org/records/1119095
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Přístupové číslo: edsbas.FC5FF1F8
Databáze: BASE
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  – Url: https://doi.org/10.5281/zenodo.1119095#
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  Data: A Taxonomy of Task-Based Parallel Programming Technologies for High-Performance Computing
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  Data: <searchLink fieldCode="AR" term="%22Peter+Thoman%22">Peter Thoman</searchLink><br /><searchLink fieldCode="AR" term="%22Kiril+Dichev%22">Kiril Dichev</searchLink><br /><searchLink fieldCode="AR" term="%22Khalid+Hasanov%22">Khalid Hasanov</searchLink><br /><searchLink fieldCode="AR" term="%22Roman+Iakymchuk%22">Roman Iakymchuk</searchLink><br /><searchLink fieldCode="AR" term="%22Xavier+Aguilar%22">Xavier Aguilar</searchLink><br /><searchLink fieldCode="AR" term="%22Thomas+Heller%22">Thomas Heller</searchLink><br /><searchLink fieldCode="AR" term="%22Philipp+Gschwandtner%22">Philipp Gschwandtner</searchLink><br /><searchLink fieldCode="AR" term="%22Pierre+Lemarinier%22">Pierre Lemarinier</searchLink><br /><searchLink fieldCode="AR" term="%22Stefano+Markidis%22">Stefano Markidis</searchLink><br /><searchLink fieldCode="AR" term="%22Herbert+Jordan%22">Herbert Jordan</searchLink><br /><searchLink fieldCode="AR" term="%22Thomas+Fahringer%22">Thomas Fahringer</searchLink><br /><searchLink fieldCode="AR" term="%22Kostas+Katrinis%22">Kostas Katrinis</searchLink><br /><searchLink fieldCode="AR" term="%22Erwin+Laure%22">Erwin Laure</searchLink><br /><searchLink fieldCode="AR" term="%22Dimitrios~S%2E+Nikolopoulos%22">Dimitrios~S. Nikolopoulos</searchLink>
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  Data: Task-based programming models for shared memory -- such as Cilk Plus and OpenMP 3 -- are well established and documented. However, with the increase in parallel, many-core and heterogeneous systems, a number of research-driven projects have developed more diversified task-based support, employing various programming and runtime features. Unfortunately, despite the fact that dozens of different task-based systems exist today and are actively used for parallel and high-performance computing (HPC), no comprehensive overview or classification of task-based technologies for HPC exists. In this paper, we provide an initial task-focused taxonomy for HPC technologies, which covers both programming interfaces and runtime mechanisms. We demonstrate the usefulness of our taxonomy by classifying state-of-the-art task-based environments in use today.
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