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| Content Provider | ACM Digital Library |
|---|---|
| Author | Schulz, Martin Bronevetsky, Greg Marques, Daniel Fernandes, Rohit Stodghill, Paul Pingali, Keshav |
| Abstract | The running times of many computational science applications are much longer than the mean-time-to-failure of current high-performance computing platforms. To run to completion, such applications must tolerate hardware failures. Checkpoint-and-restart (CPR) is the most commonly used scheme for accomplishing this - the state of the computation is saved periodically on stable storage, and when a hardware failure is detected, the computation is restarted from the most recently saved state. Most automatic CPR schemes in the literature can be classified as system-level checkpointing schemes because they take core-dump style snapshots of the computational state when all the processes are blocked at global barriers in the program. Unfortunately, a system that implements this style of checkpointing is tied to a particular platform; in addition, it cannot be used if there are no global barriers in the program. We are exploring an alternative called application-level, non-blocking checkpointing. In our approach, programs are transformed by a pre-processor so that they become self-checkpointing and self-restartable on any platform; there is also no assumption about the existence of global barriers in the code. In this paper, we describe our implementation of application-level, non-blocking checkpointing. We present experimental results on both a Windows cluster and a Compaq Alpha cluster, which show that the overheads introduced by our approach are small. |
| File Format | |
| ISBN | 0769521533 |
| DOI | 10.1109/SC.2004.29 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2004-11-06 |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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