Abstract Training Deep Learning (DL) models are becoming more time-consuming, thus
interruptions to the training processes are inevitable. We can obtain an optimal …

This paper presents Phoenix, a communication and synchronization substrate that
implements a novel protocol for recovering from fail-stop faults when executing graph …

Fault tolerance is increasingly important in high-performance computing due to the
substantial growth of system scale and decreasing system reliability. In-memory/diskless …

Exascale systems have been under development for quite some time and will be available
for use in a few years. It is time to think about future post-exascale systems. There are many …

Fault tolerance is one of the major design goals for HPC. The emergence of non-volatile
memories (NVM) provides a solution to build fault tolerant HPC. Data in NVM-based main …

HPC systems continue to scale by including more hardware components for supporting
larger application deployments. Critically, this scaling tends to decrease the mean time …

The first Petascale supercomputer, the IBM Roadrunner, went online in 2008. Ten years
later, the community is now looking ahead to a new generation of Exascale machines …

Resilience is a major design goal for HPC. Checkpoint is the most common method to
enable resilient HPC. Checkpoint periodically saves critical data objects to non-volatile …

À mesure que la puissance de calcul des nouveaux supercalculateurs augmente, leur
fiabilitédécroît inexorablement. En effet les limites sont repoussées en augmentant le …

Checkpointing is the most widely used technique in high performance computing systems to
tolerate fail-stop errors and ensure reliable execution of parallel applications. However, with …