1 citations · 1 across the 2 of their papers we have counts for
5 papers
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…
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…
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…
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…
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…