Abstract

As computational clusters increase in size, their mean-time-to-failure reduces. Typically checkpointing is used to minimize the loss of computation. Most checkpointing techniques, however, require a central storage for storing checkpoints. This severely limits the scalability of checkpointing. We propose a scalable replication-based MPI checkpointing facility that is based on LAM/MPI. We extend the existing state of fault-tolerant MPI with asynchronous replication, eliminating the need for central or network storage. We evaluate centralized storage, SAN-based solutions, and a commercial parallel file system, and show that they are not scalable, particularly beyond 64 CPUs. We demonstrate the low overhead of our replication scheme with the NAS Parallel Benchmarks and the High Performance LINPACK benchmark with tests up to 256 nodes while demonstrating that checkpointing and replication can be …

Date

October 10, 2025

Authors

John Walters, Vipin Chaudhary

Conference

High Performance Computing, HiPC 2007

Pages

257-268

Publisher

Springer Berlin/Heidelberg