Abstract The Intel DPC++ Compatibility Tool is a component of the Intel oneAPI Base Toolkit.
This tool automatically transforms CUDA code into Data Parallel C++ (DPC++), thus …

Heterogeneous hardware platforms that leverage application-specific hardware accelerators
are becoming increasingly popular as the demand for high-performance compute intensive …

Heterogeneous systems are the core architecture of most computing systems, from high-
performance computing nodes to embedded devices, due to their excellent performance …

Training a Graph Neural Network (GNN) model on large-scale graphs involves a high
volume of data communication and computations. While state-of-the-art CPUs and GPUs …

Bioinformatics and computational biology are two fields that have been exploiting GPUs for
more than two decades, with being CUDA the most used programming language for them …

Abstract Agent-Based Models (ABMs) have long served to study self-adaptive systems and
the emergence of population-wide patterns from simple rules applied to individuals …

The performance and energy efficiency offered by heterogeneous systems are highly useful
for modern C++ applications, but the technological variety demands adequate portability …

Heterogeneous systems, widely used from HPC to mobile, offer high performance and
energy efficiency but pose management challenges. Devices in such systems are often …

Hyperdimensional Computing (HDC), a technique inspired by cognitive models of
computation, has been proposed as an efficient and robust alternative basis for machine …

The path to the efficient exploitation of molecular dynamics simulators is strongly driven by
the increasingly intensive use of accelerators. However, they suffer performance portability …