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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Meneses, E. Xiang Ni Gengbin Zheng Mendes, C.L. Kale, L.V. |
| Copyright Year | 1990 |
| Abstract | Supercomputers have seen an exponential increase in their size in the last two decades. Such a high growth rate is expected to take us to exascale in the timeframe 2018-2022. But, to bring a productive exascale environment about, it is necessary to focus on several key challenges. One of those challenges is fault tolerance. Machines at extreme scale will experience frequent failures and will require the system to avoid or overcome those failures. Various techniques have recently been developed to tolerate failures. The impact of these techniques and their scalability can be substantially enhanced by a parallel programming model called migratable objects. In this paper, we demonstrate how the migratable-objects model facilitates and improves several fault tolerance approaches. Our experimental results on thousands of cores suggest fault tolerance schemes based on migratable objects have low performance overhead and high scalability. Additionally, we present a performance model that predicts a significant benefit of using migratable objects to provide fault tolerance at extreme scale. |
| Sponsorship | IEEE Computer Society |
| Starting Page | 2061 |
| Ending Page | 2074 |
| Page Count | 14 |
| File Size | 984111 |
| File Format | |
| ISSN | 10459219 |
| Volume Number | 26 |
| Issue Number | 7 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-07-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fault tolerance Fault tolerant systems Runtime Protocols Sockets Computational modeling Supercomputers message logging Migratable objects fault tolerance resilience checkpoint/restart |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computational Theory and Mathematics Hardware and Architecture |
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