Whole brain network models are now an established tool in scientific and clinical research,
however their use in a larger workflow still adds significant informatics complexity. We …

Analysis of posttraumatic embitterment disorders by machine learning: Could sullenness be
a predictor of posttraumatic embitterm Page 1 Bahar Kilic1 , Mustafa Karakaplan2 , Suheyla …

This article is a sequel to" GPU implementation of a ray-surface intersection algorithm in
CUDA"(arXiv: 2209.02878)[1]. Its main focus is PyCUDA which represents a Python scripting …

The k-mers processing techniques based on partitioning of the data set on the disk using
minimizer-type seeds have led to a significant reduction in memory requirements; however …

The constant evolution of X-ray photon sources associated to the increasing performance of
high-end X-ray detectors allows cutting-edge experiments that can produce very high …

In geophysics, the slant stack transform is a method used to align signals from different
sensors. We focus on the use of the transform within passive refraction microtremor (ReMi) …

We propose a stock market software architecture extended by a graphics processing unit,
which employs parallel programming paradigm techniques to optimize long-running tasks …

The growing amount of photovoltaic systems in urban environments creates peaks of energy
generation in local energy grids. These peaks can lead to unwanted instability in the …

Los clúster han aparecido como una herramienta computacional de alto rendimiento para la
solución de problemas complejos en ciencias e ingeniería. En ese sentido, en el siguiente …

Alex Fuerst , Charles Kazer , and William Hoffman . Faculty Advisor: Arthur Lembo Introduction
Methods Results Conclusions and Page 1 GIS based terrain analysis with GPU and CPU …