As the size of large-scale computer systems increases, their mean-time-between-failures are
becoming significantly shorter than the execution time of many current scientific applications …

Fault tolerance overhead of high performance computing (HPC) applications is becoming
critical to the efficient utilization of HPC systems at large scale. HPC applications typically …

The road to exascale computing poses many challenges for the High Performance
Computing (HPC) community. Each step on the exascale path is mainly the result of a higher …

As the number of processors in today's parallel systems continues to grow, the mean-time-to-
failure of these systems is becoming significantly shorter than the execution time of many …

High Performance Computing (HPC) systems represent the peak of modern computational
capability. As ever-increasing demands for computational power have fuelled the demand …

Applications running on today's supercomputers tolerate failures by periodically saving their
state in checkpoint files on stable storage, such as a parallel file system. Although this …

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 …

Most predictions of Exascale machines picture billion way parallelism, encompassing not
only millions of cores, but also tens of thousands of nodes. Even considering extremely …

The execution times of large-scale parallel applications on nowadays multi/many-core
systems are usually longer than the mean time between failures. Therefore, parallel …

As computational clusters increase in size, their mean time to failure reduces drastically.
Typically, checkpointing is used to minimize the loss of computation. Most checkpointing …