The high-performance computing I/O stack has been complex due to multiple software
layers, the inter-dependencies among these layers, and the different performance tuning …

Peta-scale scientific applications running on High End Computing (HEC) platforms can
generate large volumes of data. For high performance storage and in order to be useful to …

A cluster of data servers and a parallel file system are often used to provide high-throughput
I/O service to parallel programs running on a compute cluster. To exploit I/O parallelism …

The performance gap between computing power and the I/O system is ever increasing, and
in the meantime more and more High Performance Computing (HPC) applications are …

I/O data access is a recognized performance bottleneck of high-end computing. Several
commercial and research parallel file systems have been developed in recent years to ease …

Optimizing collective I/O operations is of paramount importance for many data intensive high
performance computing applications. Despite the large number of algorithms published in …

Parallel applications benefit considerably from the rapid advance of processor architectures
and the available massive computational capability, but their performance suffers from large …

With the ever-growing size of computer clusters and applications, system failures are
becoming inevitable. Checkpointing, a strategy to ensure fault tolerance, has become …

Collective I/O is a parallel I/O technique designed to deliver high performance data access to
scientific applications running on high-end computing clusters. In collective I/O, write …

The size and scope of cutting-edge scientific simulations are growing much faster than the
I/O and storage capabilities of their runtime environments. The growing gap gets …