Large-scale applications typically spend a large fraction of their execution time performing
I/O to a parallel storage system. However, with rapid progress in compute and storage …

I/O performance is a critical aspect of data-intensive scientific computing. We seek to
advance the state of the practice in understanding and diagnosing I/O performance issues …

Monitoring and analyzing I/O behaviors is critical to the efficient utilization of parallel storage
systems. Unfortunately, with increasing I/O requirements and resource contention, I/O …

Large-scale high-performance computing (HPC) applications running on supercomputers
produce large amounts of data routinely and store it in files on multi-PB shared parallel …

The starting point for our work was a demand for an overview of application's I/O behavior,
that provides information about the usage of our HPC “Mistral”. We suspect that some …

I/O efficiency is essential to productivity in scientific computing, especially as many scientific
domains become more data-intensive. Many characterization tools have been used to …

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 …

Increasingly, scientific discovery requires sophisticated and scalable workflows. Workflows
have become the``new applications,''wherein multi-scale computing campaigns comprise …

Collective Input and output (I/O) is an essential approach in high performance computing
(HPC) applications. The achievement of effective collective I/O is a nontrivial job due to the …

Parallel application I/O performance often does not meet user expectations. Additionally,
slight access pattern modifications may lead to significant changes in performance due to …