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