Abstract
Future extreme-scale high-performance computing systems will be required to work under frequent component failures. The MPI Forum's User Level Failure Mitigation proposal has introduced an operation, MPI Comm shrink, to synchronize the alive processes on the list of failed processes, so that applications can continue to execute even in the presence of failures by adopting algorithm-based fault tolerance techniques. This MPI Comm shrink operation requires a fault tolerant failure detection and consensus algorithm. This paper presents and compares two novel failure detection and consensus algorithms. The proposed algorithms are based on Gossip protocols and are inherently fault- Tolerant and scalable. The proposed algorithms were implemented and tested using the Extreme-scale Simulator. The results show that in both algorithms the number of Gossip cycles to achieve global consensus scales logarithmically with system size. The second algorithm also shows better scalability in terms of memory and network bandwidth usage and a perfect synchronization in achieving global consensus.
Original language | English |
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Title of host publication | Proceedings of the 22nd European MPI Users' Group Meeting, EuroMPI 2015 |
Publisher | Association for Computing Machinery |
ISBN (Electronic) | 9781450337953 |
DOIs | |
State | Published - Sep 21 2015 |
Event | 22nd European MPI Users' Group Meeting, EuroMPI 2015 - Bordeaux, France Duration: Sep 21 2015 → Sep 23 2015 |
Publication series
Name | ACM International Conference Proceeding Series |
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Volume | 21-23-September-2015 |
Conference
Conference | 22nd European MPI Users' Group Meeting, EuroMPI 2015 |
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Country/Territory | France |
City | Bordeaux |
Period | 09/21/15 → 09/23/15 |
Funding
This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research. The author Amogh Katti is supported by the Felix Scholarship for his PhD project
Keywords
- Consensus
- Failure detection
- Fault- Tolerant MPI
- Gossip protocols
- User-level failure mitigation