Protein intrinsic disorder is found in all kingdoms of life and is known to underpin numerous
physiological and pathological processes. Computational methods play an important role in …

In the realm of Internet of Things (IoT) systems, the interconnectivity of physical hardware
devices is a fundamental aspect, and as a result, data exchange assumes a critical role in …

Abstract The Uniform Manifold Approximation and Projection (UMAP) algorithm has become
widely popular for its ease of use, quality of results, and support for exploratory …

We explore the performance and portability of the high-level programming models: the
LLVM-based Julia and Python/Numba, and Kokkos on high-performance computing (HPC) …

The work is devoted to the topical problem at the intersection of communications theory,
digital electronics and numerical analysis, namely the study of image processing methods …

In this work, we introduce a scalable and efficient GPU-accelerated methodology for
volumetric particle advection and finite-time Lyapunov exponent (FTLE) calculation, focusing …

This paper examines the performance of two popular GPU programming platforms, Numba
and CuPy, for Monte Carlo radiation transport calculations. We conducted tests involving …

This study introduces PyAdMesh, an open-source software for reducing discretization errors
in finite element analysis using an h-adaptive method. Adaptive approaches iteratively refine …

GPU devices are currently seen as one of the trending topics for parallel computing.
Commonly, GPU applications are developed with programming tools based on compiled …

Identifying system dynamics is an essential task for several research areas that deal with
real systems intended for purposes such as control, monitoring, or fault detection. However …