We present an efficient and performance portable implementation of the Simple Cloud
Resolving E3SM Atmosphere Model (SCREAM). SCREAM is a full featured atmospheric …

Checkpointing is an I/O intensive operation increasingly used by High-Performance
Computing (HPC) applications to revisit previous intermediate datasets at scale. Unlike the …

We propose a parallel (distributed) version of the spectral proper orthogonal decomposition
(SPOD) technique. The parallel SPOD algorithm distributes the spatial dimension of the …

Modern scientific instruments, such as detectors at synchrotron light sources, generate data
at such high rates that online processing is needed for data reduction, feature detection …

We evaluate Julia as a single language and ecosystem paradigm powered by LLVM to
develop workflow components for high-performance computing. We run a Gray-Scott, 2 …

With the recent developments in computational science and HPC technology, large-scale
numerical simulations have become common in various scientific and technological fields …

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 …

Acquiring data from scientific simulations for analytical purposes is inherently challenging
due to the complex and irregularly shaped regions within which the data resides, particularly …

Large-scale parallel applications can face significant I/O performance bottlenecks, making
efficient I/O crucial. This work presents a comparative study of several parallel I/O …

Data streaming is gaining traction in high-performance computing (HPC) as a mechanism
for continuous data transfer, but remains underutilized as a processing paradigm due to the …