Previous studies into performance portability have typically analysed a single application
(and its various imple-mentations) in isolation. In this study we explore the wider landscape …

SYCL is a parallel programming model for develo** single-source programs for running
on heterogeneous platforms. To this end, it allows for one code to be written which can run …

Graphics processors are widely utilized in modern supercomputers as accelerators. Ability to
perform efficient parallelization and low-level allow scientists to greatly boost performance of …

Recently, Intel released the oneAPI programming environment. With Data Parallel C++
(DPC++), oneAPI enables codes to target multiple hardware architectures like multi-core …

With Exascale machines on our immediate horizon, there is a pressing need for applications
to be made ready to best exploit these systems. However, there will be multiple paths to …

Large scale simulations are a key pillar of modern research and require ever-increasing
computational resources. Different novel manycore architectures have emerged in recent …

Exascale computing brings with it diverse machine architectures and programming
approaches which challenge application developers. Applications need to perform well on a …

Recent revisions to the ISO C++ standard have added specifications for parallel algorithms.
These additions cover common use-cases, including sequence traversal, reduction, and …

Julia is a general-purpose, managed, strongly and dynamically-typed programming
language with emphasis on high performance scientific computing. Traditionally, HPC …

Over the past 10 years, a paradigm shift has happened in the world of science and
information technology. Open science is becoming the de facto standard, as underlined by …