High Performance Computing Systems with Various Checkpointing Schemes


  • Nichamon Naksinehaboon Louisiana Tech University Computer Science Department Louisiana, 71272, USA
  • Mihaela P[un Louisiana Tech University Mathematics and Statistics Department Louisiana, 71272, USA and Finance and Banks Faculty Spiru Haret University, Romania E-mail:
  • Raja Nassar Louisiana Tech University Mathematics and Statistics Department Louisiana, 71272, USA
  • Chokchai Box Leangsuksun Louisiana Tech University Computer Science Department Louisiana, 71272, USA
  • Stephen Scott Oak Ridge National Laboratory Computer Science and Mathematics Division TN 37831-6173


Large-scale distributed system, reliability, fault-tolerance, checkpoint/restart model, HPC


Finding the failure rate of a system is a crucial step in high performance computing systems analysis. To deal with this problem, a fault tolerant mechanism, called checkpoint/ restart technique, was introduced. However, there are additional costs to perform this mechanism. Thus, we propose two models for different schemes (full and incremental checkpoint schemes). The models which are based on the reliability of the system are used to determine the checkpoint placements. Both proposed models consider a balance of between checkpoint overhead and the re-computing time. Due to the extra costs from each incremental checkpoint during the recovery period, a method to find the number of incremental checkpoints between two consecutive full checkpoints is given. Our simulation suggests that in most cases our incremental checkpoint model can reduce the waste time more than it is reduced by the full checkpoint model. The waste times produced by both models are in the range of 2% to 28% of the application completion time depending on the checkpoint overheads.


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