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 …

We present a comprehensive survey on parallel I/O in the high-performance computing
(HPC) context. This is an important field for HPC because of the historic gap between …

Unmatched computation and storage performance in new HPC systems have led to a
plethora of I/O optimizations ranging from application-side collective I/O to network and disk …

A significant percentage of the computing capacity of large-scale platforms is wasted
because of interferences incurred by multiple applications that access a shared parallel file …

As we move toward the exascale era, performance variability in HPC systems remains a
challenge. I/O interference, a major cause of this variability, is becoming more important …

Inter-application I/O contention and performance interference have been recognized as
severe problems. In this work, we demonstrate, through measurement from Titan (world's …

The increasing gap between the computation performance of post-petascale machines and
the performance of their I/O subsystem has motivated many I/O optimizations including …

Parallel file systems have become a common component of modern high-end computers to
mask the ever-increasing gap between disk data access speed and CPU computing power …

In the Big Data era, the gap between the storage performance and an application's I/O
requirement is increasing. I/O congestion caused by concurrent storage accesses from …

Concurrent accesses to the shared storage resources in current HPC machines lead to
severe performance degradation caused by I/O contention. In this study, we identify some …