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Publications of Torsten Hoefler
Maciej Besta, Torsten Hoefler:
| | Fault Tolerance for Remote Memory Access Programming Models
(In Proceedings of the 23rd ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC'14), presented in Vancouver, Canada, ACM, Jun. 2014) Best Paper Nominee at HPDC'14 (3/21)
AbstractRemote Memory Access (RMA) is an emerging mechanism
for programming high-performance computers and datacenters. However, little work exists on resilience schemes for
RMA-based applications and systems. In this paper we analyze fault tolerance for RMA and show that it is funda-
mentally different from resilience mechanisms targeting the
message passing (MP) model. We design a model for reasoning about fault tolerance for RMA, addressing both flat and
hierarchical hardware. We use this model to construct several highly-scalable mechanisms that provide efficient low-overhead in-memory checkpointing, transparent logging of
remote memory accesses, and a scheme for transparent recovery of failed processes. Our protocols take into account
diminishing amounts of memory per core, one of major features of future exascale machines. The implementation of
our fault-tolerance scheme entails negligible additional overheads. Our reliability model shows that in-memory checkpointing and logging provide high resilience. This study
enables highly-scalable resilience mechanisms for RMA and
fills a research gap between fault tolerance and emerging
RMA programming models.
Documentsdownload article: download slides: | | BibTeX | @inproceedings{besta-rma-ft, author={Maciej Besta and Torsten Hoefler}, title={{Fault Tolerance for Remote Memory Access Programming Models}}, year={2014}, month={Jun.}, booktitle={Proceedings of the 23rd ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC'14)}, location={Vancouver, Canada}, publisher={ACM}, source={http://www.unixer.de/~htor/publications/}, } |
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