Over the past few years resilience has became a major issue for high-performance
computing (HPC) systems, in particular in the perspective of large petascale systems and …

We report the computational advances that have enabled the first micron-scale simulation of
a Kelvin-Helmholtz (KH) instability using molecular dynamics (MD). The advances are in …

As supercomputers scale to 1000 PFlop/s over the next decade, investigating the
performance of parallel applications at scale on future architectures and the performance …

Investigating parallel application performance at scale is an important part of high-
performance computing (UPC) application development. The Extreme-scale Simulator …

Metaheuristics have significant computing requirements, in particular Ant Colony
Optimization (ACO) processes a population of individuals (agents/ants) roaming in a graph …

Several recovery techniques for parallel iterative methods are presented. First, the
implementation of checkpoints in parallel iterative methods is described and analyzed. Then …

Dependence of computing resources on each other in cloud computing systems (CCS)
makes them prone to fail in correlated manner which significantly impacts their service …

Scientists use advanced computing techniques to assist in answering the complex questions
at the forefront of discovery. The High Performance Computing (HPC) scientific applications …

The lack of fault tolerance is becoming a limiting factor for application scalability in HPC
systems. The MPI does not provide standardized fault tolerance interfaces and semantics …

With the advent of exascale computing, issues such as application irregularity and
permanent hardware failure are growing in importance. Irregularity is often addressed by …