Performance is arguably the most crucial attribute that reflects the quality of a configurable
software system. However, given the increasing scale and complexity of modern software …

Using parallel file systems efficiently is a tricky problem due to inter-dependencies among
multiple layers of I/O software, including high-level I/O libraries (HDF5, netCDF, etc.), MPI-IO …

System administrators set default storage-system configuration parameters with the goal of
providing high per-formance for their system's I/O workloads. However, this gener-alized …

I/O performance monitoring tools such as Darshan and Recorder collect I/O-related metrics
on production systems and help understand the applications' behavior. However, some …

The complex software and hardware I/O stack of HPC platforms makes it challenging for end-
users to obtain superior I/O performance and to understand the root causes of I/O …

This paper presents a comprehensive investigation on optimizing I/O performance in the
access to distributed I/O resources in high-performance computing (HPC) environments. I/O …

The existing parallel I/O stack is complex and difficult to tune due to the interdependencies
among multiple factors that impact the performance of data movement between storage and …

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

The imbalanced I/O load on large parallel file systems affects the parallel I/O performance of
high-performance computing (HPC) applications. One of the main reasons for I/O …

Parallel I/O is an essential part of scientific applications running on high performance
computing systems. Typically, parallel I/O stacks offer many parameters that need to be …