Computational science is crucial for delivering reliable weather and climate predictions.
However, despite decades of high-performance computing experience, there is serious …

Memory and I/O performance bottlenecks in supercomputing simulations are two key
challenges that must be addressed on the road to Exascale. The new byte-addressable …

Object storage solutions potentially address long-standing performance issues with POSIX
file systems for certain I/O workloads, and new storage technologies offer promising …

The Intel Optane DC Persistent Memory (DCPM) is an attractive novel technology for
building storage systems for data intensive HPC applications, as it provides lower cost per …

Among the broad variety of challenges that arise from workloads in a converged HPC and
Cloud infrastructure, data movement is of paramount importance, especially oncoming …

Reading and writing data to and from data storage has long been a bottleneck for high
performance computing (HPC). The hardware used for data storage exhibits performance …

High-performance object stores are an emerging technology which offers an alternative
solution in the field of HPC storage, with potential to address long-standing scalability issues …

Byte-addressable persistent memory (B-APM) presents a new opportunity to bridge the
performance gap between main memory and storage. In this paper, we present the usage …

Operational Numerical Weather Prediction (NWP) workflows are highly data-intensive. Data
volumes have increased by many orders of magnitude over the last 40 years, and are …

In numerical weather prediction and high-performance computing, the primary
computational bottleneck has gradually evolved from floating-point arithmetic to the …