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| Content Provider | Springer Nature Link |
|---|---|
| Author | Vorobeychik, Yevgeniy Mayo, Jackson R. Armstrong, Robert C. Minnich, Ronald G. Rudish, Don W. |
| Copyright Year | 2011 |
| Abstract | Traditional parallel programming techniques will suffer rapid deterioration of performance scaling with growing platform size, as the work of coping with increasingly frequent failures dominates over useful computation. To address this challenge, we introduce and simulate a novel software architecture that combines a task dependency graph with a substitution graph. The role of the dependency graph is to limit communication and checkpointing and enhance fault tolerance by allowing graph neighbors to exchange data, while the substitution graph promotes fault oblivious computing by allowing a failed task to be substituted on-the-fly by another task, incurring a quantifiable error. We present optimization formulations for trading off substitution errors and other factors such as available system capacity and low-overlap task partitioning among processors, and demonstrate that these can be approximately solved in real time after some simplifications. Simulation studies of our proposed approach indicate that a substitution network adds considerable resilience and simple enhancements can limit the aggregate substitution errors. |
| Starting Page | 297 |
| Ending Page | 305 |
| Page Count | 9 |
| File Format | |
| ISSN | 18652034 |
| Journal | Informatik - Forschung und Entwicklung |
| Volume Number | 26 |
| Issue Number | 3-4 |
| e-ISSN | 18652042 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2011-04-05 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | Subscribed |
| Subject Keyword | Resilience Scalability Fault tolerance Exascale Data Structures, Cryptology and Information Theory Theory of Computation Computer Systems Organization and Communication Networks Computer Hardware Computer Science Software Engineering/Programming and Operating Systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science |
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