activity
20132025
most citedAdaptive Multi-GPU Exchange Monte Carlo for the 3D Random Field Ising Model

16 citations · 36 across the 20 of their papers we have counts for

collaborators

23 papers

cs.GR2025

Mìmir: A real-time interactive visualization library for CUDA programs

Francisco Carter, Nancy Hitschfeld, Cristóbal A. Navarro

Real-time visualization of computational simulations running over graphics processing units (GPU) is a valuable feature in modern science and technological research, as it allows r…

cs.CV2023★ 2 cited

RaViTT: Random Vision Transformer Tokens

Felipe A. Quezada, Carlos F. Navarro, Cristian Muñoz +5

Vision Transformers (ViTs) have successfully been applied to image classification problems where large annotated datasets are available. On the other hand, when fewer annotations a…

cs.DC2023

Accelerating Range Minimum Queries with Ray Tracing Cores

Enzo Meneses, Cristóbal A. Navarro, Héctor Ferrada +1

During the last decade GPU technology has shifted from pure general purpose computation to the inclusion of application specific integrated circuits (ASICs), such as Tensor Cores a…

cs.DC2023

An Evaluation of GPU Filters for Accelerating the 2D Convex Hull

Roberto Carrasco, Héctor Ferrada, Cristóbal A. Navarro +1

The Convex Hull algorithm is one of the most important algorithms in computational geometry, with many applications such as in computer graphics, robotics, and data mining. Despite…

cs.DC2022

Accelerating the Convex Hull Computation with a Parallel GPU Algorithm

Alan Keith, Héctor Ferrada, Cristóbal A. Navarro

The convex hull is a fundamental geometrical structure for many applications where groups of points must be enclosed or represented by a convex polygon. Although efficient sequenti…

cs.DC2022

A Scalable and Energy Efficient GPU Thread Map for m-Simplex Domains

Cristóbal A. Navarro, Felipe A. Quezada, Benjamin Bustos +2

This work proposes a new GPU thread map for -simplex domains, that scales its speedup with dimension and is energy efficient compared to other state of the art approaches. The m…