The new challenges presented by exascale system architectures have resulted in difficulty
achieving the desired scalability using traditional distributed-memory runtimes …

Ranging from NVIDIA GPUs to AMD GPUs and Intel GPUs: Given the heterogeneity of
available accelerator cards within current supercomputers, portability is a key aspect for …

On modern supercomputers, asynchronous many task systems are emerging to address the
new architecture of computational nodes. Through this shift of increasing cores per node, a …

The increasing availability of machines relying on non-GPU architectures, such as ARM
A64FX in high-performance computing, provides a set of interesting challenges to …

Asynchronous programming models (APM) are gaining more and more traction, allowing
applications to expose the available concurrency to a runtime system tasked with …

Between a widening range of GPU vendors and the trend of having more GPUs per compute
node in supercomputers such as Summit, Perlmutter, Frontier and Aurora, develo** …

Meeting both scalability and performance portability requirements is a challenge for any
HPC application, especially for adaptively refined ones. In Octo-Tiger, an astrophysics …

Octo-Tiger, a large-scale 3D AMR code for the merger of stars, uses a combination of HPX,
Kokkos and explicit SIMD types, aiming to achieve performance-portability for a broad range …

Dynamic and adaptive mesh refinement is pivotal in high-resolution, multi-physics, multi-
model simulations, necessitating precise physics resolution in localized areas across …

APEX (Autonomic Performance Environment for eXascale) is a performance measurement
library for distributed, asynchronous multitasking runtime systems. It provides support for …