The exponential growth of digital information is imposing increasing scale and efficiency
demands on modern storage infrastructures. As infrastructure complexity increases, so does …

Burst-Buffers are high throughput and small size storage which are being used as an
intermediate storage between the PFS (Parallel File System) and the computational nodes …

In HPC platforms, concurrent applications are sharing the same file system. This can lead to
conflicts, especially as applications are more and more data intensive. I/O contention can …

Storage resources in high-performance computing are shared across all user applications.
Consequently, storage performance can vary markedly, depending not only on an …

Deep Learning (DL) training requires efficient access to large collections of data, leading DL
frameworks to implement individual I/O optimizations to take full advantage of storage …

This work presents LIMITLESS, a HPC framework that provides new strategies for
monitoring clusters. LIMITLESS is a scalable light-weight monitor that is integrated with other …

A critical performance challenge in distributed scientific workflows is coordinating tasks and
data flows on distributed resources. To guide these decisions, this paper introduces data …

Observations show that some HPC applications periodically alternate between (i) operations
(computations, local data accesses) executed on the compute nodes, and (ii) I/O transfers of …

As HPC systems move into the Exascale era, parallel file systems are struggling to keep up
with the I/O requirements from data-intensive problems. While the inclusion of burst buffers …

In high performance, computing concurrent applications are sharing the same file system.
However, the bandwidth which provides access to the storage is limited. Therefore, too …