Task-based programming models for shared memory – such as Cilk Plus and OpenMP 3 – are well established and documented. However, with the increase in heterogeneous, many-core and parallel 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, 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.
CITATION STYLE
Thoman, P., Hasanov, K., Dichev, K., Iakymchuk, R., Aguilar, X., Gschwandtner, P., … Fahringer, T. (2018). A taxonomy of task-based technologies for high-performance computing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10778 LNCS, pp. 264–274). Springer Verlag. https://doi.org/10.1007/978-3-319-78054-2_25
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