Lossy compression and asynchronous I/O are two of the most effective solutions for reducing
storage overhead and enhancing I/O performance in large-scale high-performance …

Lossy compression is one of the most efficient solutions to reduce storage overhead and
improve I/O performance for HPC applications. However, existing parallel I/O libraries …

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 …

This paper proposes a reinforcement learning-based watchdog (RLW) that examines solid-
state drive (SSD) liveness or failures by faults (eg, controller/power faults and high …

To meet increasing data access performance demands of applications run on high-
performance computing (HPC) systems, an efficient design of HPC storage file system is …

Given the distinctive characteristics of flash-based solid-state drives (SSDs), such as out-of-
place update scheme, as compared to traditional block storage devices, a flash translation …

Solid state storage systems have been very effectively used in small devices; however, their
effectiveness for large systems such as supercomputers is not yet proven. Recently, for the …

With the convergence of big data and HPC (high-performance computing), various machine
learning applications and traditional large-scale simulations with a stochastically iterative I/O …

Burst Buffer is widely used in supercomputer centers to bridge the performance gap
between computational power and the high-performance I/O systems. The primary role of …

Ensemble data assimilation is a powerful tool for increasing the accuracy of climatological
states. It is based on combining observations with the results from numerical model …