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researcher

R. Vega

4 papers hereh-index 469 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DC4
same name
  • R. Vega — 5 papers, h 5
  • R. Vega — 2 papers, h 14
  • R. Vega — 2 papers
  • R. Vega — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172020
most citedAnalyzing GPU Tensor Core Potential for Fast Reductions

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

collaborators

4 papers

cs.DC2020

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…

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 n numbers as a set of chained m×m 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…

cs.DC2017

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 n×n. A block-space map $λ: \mathbb{Z}_{\mathb…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.