I/O has become one of the determining factors of HPC application performance.
Understanding an application's I/O activity requires a multi-level view of the I/O function flow …

Parallel applications rely on I/O to load data, store end results, and protect partial results
from being lost to system failure. Parallel I/O performance thus has a direct and significant …

The study of the I/O performance of a parallel application can be facilitated by the use of an
I/O kernel--a program that generates the same I/O calls as the original application, but can …

Modern HPC systems are collecting large amounts of I/O performance data. The massive
volume and heterogeneity of this data, however, have made timely performance of in-depth …

Parallelisation, serial optimisation, compiler tuning, and many more techniques are used to
optimise and improve the performance scaling of parallel programs. One area which is …

The complexity of HPC systems has increased the burden on the developer as applications
scale to hundreds of thousands of processing cores. Moreover, additional efforts are …

On the way to the exascale era, millions of parallel processing elements are required.
Accordingly, one major chal-lenge is the ever-widening gap between computational power …

Contemporary high-performance computing (HPC) applications encompass a broad range
of distinct I/O strategies and are often executed on a number of different compute platforms …

Large-scale high performance computing (HPC) systems typically consist of many
thousands of CPUs and storage units, while used by hundreds to thousands of users at the …

The unprecedented parallelism of new supercomputing platforms poses tremendous
challenges to achieving scalable performance for I/O intensive applications. Performance …