Environmental-Aware Optimization of MPI Checkpointing Intervals

Fault-tolerance for HPC systems with long-running applications of massive and growing scale is now essential. Although checkpointing with rollback recovery is a popular technique, automated checkpointing is becoming troublesome in a real system, due to the extremely large size of collective application memory. Therefore, automated optimization of the checkpoint interval is essential, but the optimal point depends on hardware failure rates and I/O bandwidth. Our new model and an algorithm, which is an extension of Vaidya's model, solve the problem by taking such parameters into account. Prototype implementation on our fault-tolerant MPI framework ABARIS showed approximately 5.5% improvement over statically user-determined cases.