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Resilience in high-level parallel programming languages

Hamouda, Sara S.

Description

The consistent trends of increasing core counts and decreasing mean-time-to-failure in supercomputers make supporting task parallelism and resilience a necessity in HPC programming models. Given the complexity of managing multi-threaded distributed execution in the presence of failures, there is a critical need for task-parallel abstractions that simplify writing efficient, modular, and understandable fault-tolerant applications. MPI User-Level Failure Mitigation (MPI-ULFM) is an emerging...[Show more]

CollectionsOpen Access Theses
Date published: 2019
Type: Thesis (PhD)
URI: http://hdl.handle.net/1885/164137
DOI: 10.25911/5d0cb264c1c22

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