Transaction management in the R* distributed database management system
ACM Transactions on Database Systems (TODS)
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ACM Computing Surveys (CSUR)
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Journal of the ACM (JACM)
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The Dynamic Two Phase Commitment (D2PC) Protocol
ICDT '95 Proceedings of the 5th International Conference on Database Theory
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Efficient commit protocols for the tree of processes model of distributed transactions
ACM SIGOPS Operating Systems Review
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Proceedings of the twenty-sixth annual ACM symposium on Principles of distributed computing
Algorithm-Based Fault Tolerance for Matrix Operations
IEEE Transactions on Computers
Concurrency Control and Consistency of Multiple Copies of Data in Distributed Ingres
IEEE Transactions on Software Engineering
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Preserving Collective Performance across Process Failure for a Fault Tolerant MPI
IPDPSW '11 Proceedings of the 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and PhD Forum
Super-Scalable algorithms for computing on 100,000 processors
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
Analyzing fault aware collective performance in a process fault tolerant MPI
Parallel Computing
Enabling Application Resilience with and without the MPI Standard
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
An evaluation of user-level failure mitigation support in MPI
EuroMPI'12 Proceedings of the 19th European conference on Recent Advances in the Message Passing Interface
User level failure mitigation in MPI
Euro-Par'12 Proceedings of the 18th international conference on Parallel processing workshops
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The lack of fault tolerance is becoming a limiting factor for application scalability in HPC systems. The MPI does not provide standardized fault tolerance interfaces and semantics. The MPI Forum's Fault Tolerance Working Group is proposing a collective fault tolerant agreement algorithm for the next MPI standard. Such algorithms play a central role in many fault tolerant applications. This paper combines a log-scaling two-phase commit agreement algorithm with a reduction operation to provide the necessary functionality for the new collective without any additional messages. Error handling mechanisms are described that preserve the fault tolerance properties while maintaining overall scalability.