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With parallel computing system scaling up, the system reliability drastically decreases, so parallel applications running on such system must tolerate hardware failures. Checkpointing is widely used in the domain of large-scale parallel computing, which periodically saves the state of computation to stable storage. This produces in negligible fault tolerance overhead. The traditional speedup only...
One of the basic problems related to the efficient application-level checkpointing is the placement of checkpoints in the source codes. In this paper we discuss two common questions with a source-to-source precompiler ALEC: 1) if there are N checkpoints in the application's source code, how to pick M checkpoints out of them minimizing the total amount of checkpoint data? 2) if there are no checkpoint...
Application-level checkpointing can decrease the overhead of fault tolerance by minimizing the amount of checkpoint data. However this technique requires the programmer to manually choose the critical data that should be saved. In this paper, we firstly propose a live-variable analysis method for MPI programs. Then, we provide an optimization method of data saving for application-level checkpointing...
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