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 …

Parallel File Systems (PFSs) are frequently deployed on leadership High Performance
Computing (HPC) systems to ensure efficient I/O, persistent storage and scalable …

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 …

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 …

This paper offers a solution to overcome the complexities of production system I/O
performance monitoring. We present Beacon, an end-to-end I/O resource monitoring and …

This work highlights the significance of I/O bottlenecks that data-intensive HPC workflows
face in serverless environments-an issue that has been largely overlooked by prior works …

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 …

Scientific computing workloads at HPC facilities have been shifting from traditional
numerical simulations to AI/ML applications for training and inference while processing and …

As high-performance computing infrastructures move towards exascale, the role of resource
and job management systems is more critical now than ever. Simulating batch systems to …

Storage backends of parallel compute clusters are still based mostly on magnetic disks,
while newer and faster storage technologies such as flash-based SSDs or non-volatile …