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Révision 23 (Julien Brule, 19/06/2012 10:39) → Révision 24/29 (Julien Brule, 19/06/2012 10:40)

h1. YOGA wiki 

 !https://dev-lesia.obspm.fr/projets/attachments/download/575/yoga_logo2.png! 

 Yoga is a plugin for "Yorick":http://dhmunro.github.com/yorick-doc/ built on top of "NVIDIA's CUDA toolkit":http://developer.nvidia.com/category/zone/cuda-zone. It provides GPU acceleration from within the Yorick environment for a number of applications (Fourier transform, matrix operations, random number generation, etc ..). 

 The links below are intended to help you getting Yoga and using it. Have fun ! 
   
 * [[Install YoGA]] 
 * [[YoGA Philosophy]] 
 * [[Practice YoGA]] 
 * [[YoGA features]] 
 * [[Benchmarks]] 


 Please select a category : 
 * "Install Notes":https://dev-lesia.obspm.fr/projets/projects/yoga/wiki/installNotes  
 * "How to use Yoga efficiently":https://dev-lesia.obspm.fr/projets/projects/yoga/wiki/howTo  
 * "FFT":https://dev-lesia.obspm.fr/projets/projects/yoga/wiki/fftInfos  
 * "Matrix Operations":https://dev-lesia.obspm.fr/projets/projects/yoga/wiki/matrixInfos 
 * "Random number generator":https://dev-lesia.obspm.fr/projets/projects/yoga/wiki/rngInfos 
 * [[Practice YoGA]] 
 * [[YoGA features]] 

 repos @: https://lesia.obspm.fr/repos/yoga/trunk 

 h1. *YOGA_AO* 

 YOGA_AO is an extension to YoGA a Yorick plugin providing efficient tools to simulate a wide range of adaptive optics systems at various scales. General software design has been inspired by "YAO":http://frigaut.github.com/yao/index.html, a simulation tool developed by François Rigaut. 

 Main features include : 
 * on-line multiple layers Kolmogorov turbulence generation at various altitudes 
 * multi-directional raytracing through turbulence 
 * multi-directional Shack-Hartmann (SH) spots computation using either natural or laser guide stars 
 * centroiding on SH spots using various algorithm : center of gravity (COG) , weighted COG, thresholded COG, brightest pixels COG 
 * more to come ... 

 [[Install YoGA_Ao]] 
 [[YoGA_Ao features]] 
 [[Use YoGA_Ao]] 
 [[Model Description]] 
 [[Benchmarks]] 


 !https://dev-lesia.obspm.fr/projets/attachments/download/574/yoga_ao_logo_medium.png!