NAMD is a molecular dynamics program designed for high-performance simulations of very
large biological objects on CPU-and GPU-based architectures. NAMD offers scalable …

Abstract Vision-Language Pre-training (VLP) models have shown remarkable performance
on various downstream tasks. Their success heavily relies on the scale of pre-trained cross …

Viewshed analysis, often supported by geographic information system, is widely used in
many application domains. However, as terrain data continue to become increasingly large …

In this paper, we present OmpSs, a programming model based on OpenMP and StarSs, that
can also incorporate the use of OpenCL or CUDA kernels. We evaluate the proposal on …

Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers
complete coverage of modern distributed computing technology including clusters, the grid …

We implement a high-order finite-element application, which performs the numerical
simulation of seismic wave propagation resulting for instance from earthquakes at the scale …

Big data and artificial intelligence (AI) have provided new methods and opportunities for
many applications in geology. Nevertheless, big data and AI-based geoscience applications …

Gait energy images (GEIs) and its variants form the basis of many recent appearance-based
gait recognition systems. The GEI combines good recognition performance with a simple …

This work focuses on a slice through the field-Computer Vision Metrics–from the view of
feature description metrics, or how to describe, compute and design the macro-features and …

In the past decade, the smart phone evolution has accelerated the proliferation of the mobile
Internet and spurred a new wave of mobile applications, leading to an unprecedented …