CUDA Application Design and Development

By R. Farber. 2011

329 citations recorded by the source corpus.

Subfields: Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/d55b45e5891a52ad13d24f229b84c125185e77d2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Hardware and Architecture

1. Ivana Drobnjak
2. Stamatios N. Sotiropoulos
3. Nicola Filippini
4. Mark S. Graham
5. Jesper L. R. Andersson
6. Matteo Bastiani
7. Hui Zhang

Citations in the corpus

• Medical image processing on the GPU - Past, present and future (2013, background): “Interested readers are referred to books about GPU programming (Kirk and Hwu, 2010; Sanders and Kandrot, 2011; Farber, 2011) and the CUDA pro-”
• Towards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement (2017, methodology): “They have therefore been parallelised for NVidia GPUs using CUDA (Farber, 2011).”
• An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging (2016, methodology): “The CUDA implementation, however, has not been publicly released.”