On the Use of Small 2D Convolutions on GPUs - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2010

On the Use of Small 2D Convolutions on GPUs


Computing many small 2D convolutions using FFTs is a basis for a large number of applications in many domains in science and engineering, among them electromagnetic diffraction modeling in physics. The GPU architecture seems to be a suitable architecture to accelerate these convolutions, but reaching high application performance requires substantial development time and non-portable optimizations. In this work, we present the techniques, performance results and considerations to accelerate small 2D convolutions using CUDA, and compare performance to a multi-threaded CPU implementation. To improve programmability and performance of applications that make heavy use of small convolutions, we argue that two improvements to software and hardware are needed: FFT libraries must be extended with a single convolution function and communication bandwidth between CPU and GPU needs to be drastically improved.
Fichier principal
Vignette du fichier
A4MMC-al-umairy.pdf (202.58 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

inria-00493873 , version 1 (21-06-2010)


  • HAL Id : inria-00493873 , version 1


Shams A.H. Al Umairy, Alexander S. van Amesfoort, Irwan D. Setija, Martijn C. van Beurden, Henk J. Sips. On the Use of Small 2D Convolutions on GPUs. A4MMC 2010 - 1st Workshop on Applications for Multi and Many Core Processors, Jun 2010, Saint Malo, France. ⟨inria-00493873⟩


58 View
723 Download


Gmail Facebook X LinkedIn More