Abstract
With the growing scale and complexity of high-performance computing (HPC) systems, resilience solutions that ensure continuity of service despite frequent errors and component failures must be methodically designed to balance the reliability requirements with the overheads to performance and power. Design patterns enable a structured approach to the development of resilience solutions, providing hardware and software designers with the building block elements for the rapid development of novel solutions and for adapting existing technologies for emerging, extreme-scale HPC environments. In this paper, we develop analytical models that enable designers to evaluate the reliability and performance characteristics of the design patterns. These models are particularly useful in building a unified framework that analyzes and compares various resilience solutions built using a combination of patterns.
Original language | English |
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Title of host publication | Euro-Par 2017 |
Subtitle of host publication | Parallel Processing Workshops - Euro-Par 2017 International Workshops |
Editors | Dora B. Heras, Luc Bouge |
Publisher | Springer Verlag |
Pages | 557-568 |
Number of pages | 12 |
ISBN (Print) | 9783319751771 |
DOIs | |
State | Published - 2018 |
Event | International Workshops on Parallel Processing, Euro-Par 2017 - Santiago de Compostela, Spain Duration: Aug 28 2017 → Aug 29 2017 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 10659 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | International Workshops on Parallel Processing, Euro-Par 2017 |
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Country/Territory | Spain |
City | Santiago de Compostela |
Period | 08/28/17 → 08/29/17 |
Funding
This work was sponsored by the U.S. Department of Energy’s Office of Advanced Scientific Computing Research. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a nonexclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). Acknowledgements. This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, program manager Lucy Nowell, under contract number DE-AC05-00OR22725.
Keywords
- High-performance computing
- Modeling
- Patterns performance
- Reliability
- Resilience