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

Progress within physical oceanography has been concurrent with the increasing
sophistication of tools available for its study. The incorporation of machine learning (ML) …

Currently major efforts are underway toward refining the horizontal resolution (or grid
spacing) of climate models to about 1 km, using both global and regional climate models …

We investigate the effect of using convection-permitting models (CPMs) spanning a pan-
European domain on the representation of precipitation distribution at a climatic scale. In …

In this paper, we address the question of how to automatically map computational kernels to
highly efficient code for a wide range of computing platforms and establish the correctness of …

The best hope for reducing long-standing global climate model biases is by increasing
resolution to the kilometer scale. Here we present results from an ultrahigh-resolution non …

Convection‐resolving models allow to explicitly resolve deep convection at horizontal grid
spacings of O (1 km). On current supercomputers, refining the grid spacing to the kilometer …

Network simulators are an essential tool for network operators, and can assist important
tasks such as capacity planning, topology design, and parameter tuning. Popular simulators …

The term “performance portability” has been informally used in computing to refer to a variety
of notions which generally include:(1) the ability to run one application across multiple …

Most compilers have a single core intermediate representation (IR)(eg, LLVM) sometimes
complemented with vaguely defined IR-like data structures. This IR is commonly low-level …