13 citations · 25 across the 13 of their papers we have counts for
8 papers · 1 filter
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…
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…
GPU Parallel algorithm for the generation of polygonal meshes based on terminal-edge regions
Sergio Salinas, José Ojeda, Nancy Hitschfeld +1
This paper presents a GPU parallel algorithm to generate a new kind of polygonal meshes obtained from Delaunay triangulations. To generate the polygonal mesh, the algorithm first u…
Squeeze: Efficient Compact Fractals for Tensor Core GPUs
Felipe A. Quezada, Cristóbal A. Navarro, Nancy Hitschfeld +1
This work presents Squeeze, an efficient compact fractal processing scheme for tensor core GPUs. By combining discrete-space transformations between compact and expanded forms, one…
Efficient GPU Thread Mapping on Embedded 2D Fractals
Cristóbal A. Navarro, Felipe A. Quezada, Nancy Hitschfeld +2
This work proposes a new approach for mapping GPU threads onto a family of discrete embedded 2D fractals. A block-space map $λ: \mathbb{Z}_{\mathbb{E}}^{2} \mapsto \mathbb{Z}_{\mat…
Block-space GPU Mapping for Embedded Sierpiński Gasket Fractals
Cristóbal A. Navarro, Benjamín Bustos, Raimundo Vega +1
This work studies the problem of GPU thread mapping for a Sierpiński gasket fractal embedded in a discrete Euclidean space of . A block-space map $λ: \mathbb{Z}_{\mathb…
GPU parallel simulation algorithm of Brownian particles with excluded volume using Delaunay triangulations
Francisco Carter, Nancy Hitschfeld, Cristóbal Navarro +1
A novel parallel simulation algorithm on the GPU, implemented in CUDA and C++, is presented for the simulation of Brownian particles that display excluded volume repulsion and inte…
Potential benefits of a block-space GPU approach for discrete tetrahedral domains
Cristóbal A. Navarro, Benjamín Bustos, Nancy Hitschfeld
The study of data-parallel domain re-organization and thread-mapping techniques are relevant topics as they can increase the efficiency of GPU computations when working on spatial…