Scalable Failure Masking for Stencil Computations using Ghost Region Expansion and Cell to Rank Remapping
| Autor: | Hemanth Kolla, Michael A. Heroux, Jacqueline H. Chen, Marc Gamell, Jackson R. Mayo, Manish Parashar, Keita Teranishi |
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| Rok vydání: | 2017 |
| Předmět: |
Reduct
020203 distributed computing Stencil code Computer science Applied Mathematics Fault tolerance 02 engineering and technology Parallel computing Directed acyclic graph Stencil 020202 computer hardware & architecture Computational Mathematics Scalability 0202 electrical engineering electronic engineering information engineering Programming paradigm SPMD |
| Zdroj: | SIAM Journal on Scientific Computing. 39:S347-S378 |
| ISSN: | 1095-7197 1064-8275 |
| Popis: | In order to achieve exascale systems, application resilience needs to be addressed. Some programming models, such as task-DAG (directed acyclic graphs) architectures, currently embed resilience features whereas traditional SPMD (single program, multiple data) and message-passing models do not. Since a large part of the community's code base follows the latter models, it is still required to take advantage of application characteristics to minimize the overheads of fault tolerance. To that end, this paper explores how recovering from hard process/node failures in a local manner is a natural approach for certain applications to obtain resilience at lower costs in faulty environments. In particular, this paper targets enabling online, semitransparent local recovery for stencil computations on current leadership-class systems as well as presents programming support and scalable runtime mechanisms. Also described and demonstrated in this paper is the effect of failure masking, which allows the effective reduct... |
| Databáze: | OpenAIRE |
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