4 papers
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…
Accelerating Compact Fractals with Tensor Core GPUs
Felipe A. Quezada, Cristóbal A. Navarro
This work presents a GPU thread mapping approach that allows doing fast parallel stencil-like computations on discrete fractals using their compact representation. The intuition be…
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…