Resilience is a major roadblock for HPC executions on future exascale systems. These
systems will typically gather millions of CPU cores running up to a billion threads …

As large-scale systems evolve towards post-petascale computing, it is crucial to focus on
providing fault-tolerance strategies that aim to minimize fault's effects on applications. By far …

Application resilience is a key challenge that must be addressed in order to realize the
exascale vision. Process/node failures, an important class of failures, are typically handled …

Continuing increase in the computational power of supercomputers has enabled large-scale
scientific applications in the areas of astrophysics, fusion, climate and combustion to run …

GPUs are widely deployed on large-scale HPC systems to provide powerful computational
capability for scientific applications from various domains. As those applications are …

HPC community projects that future extreme scale systems will be much less stable than
current Petascale systems, thus requiring sophisticated fault tolerance to guarantee the …

In their quest toward Exascale, High Performance Computing (HPC) systems are rapidly
becoming larger and more complex, together with the issues concerning their maintenance …

Predicting which node will fail and how soon remains a challenge for HPC resilience, yet
may pave the way to exploiting proactive remedies before jobs fail. Not only for increasing …

As the sizes of supercomputers and data centers grow towards exascale, failures become
normal. System logs play a critical role in the increasingly complex tasks of automatic failure …

The pervasive availability of streaming data is driving Fast Data platforms for low-latency
streaming applications. Such applications need to respond to dynamism in the input rates …