activity
20192026
most citedAnalyzing GPU Tensor Core Potential for Fast Reductions

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CG2026

Convex Hull 3D Filtering with GPU Ray Tracing and Tensor Cores

Roberto Carrasco, Enzo Meneses, Hector Ferrada +2

In recent years, applications such as real-time simulations, autonomous systems, and video games increasingly demand the processing of complex geometric models under stringent time…

cs.GR2024

GPolylla: Fully GPU-accelerated polygonal mesh generator

Sergio Salinas-Fernández, Nancy Hitschfeld-Kahler, Roberto Carrasco

This work presents a fully GPU-accelerated algorithm for the polygonal mesh generator known as Polylla. Polylla is a tri-to-polygon mesh generator, which benefits from the half-edg…

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.DC2020

GPU Tensor Cores for fast Arithmetic Reductions

Cristóbal A. Navarro, Roberto Carrasco, Ricardo J. Barrientos +2

This work proposes a GPU tensor core approach that encodes the arithmetic reduction of numbers as a set of chained matrix multiply accumulate (MMA) operations exec…

cs.DC2019★ 1 cited

Analyzing GPU Tensor Core Potential for Fast Reductions

Roberto Carrasco, Raimundo Vega, Cristóbal A. Navarro

The Nvidia GPU architecture has introduced new computing elements such as the \textit{tensor cores}, which are special processing units dedicated to perform fast matrix-multiply-ac…