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  1. PO
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    <p>I don't recommend trying to learn CUDA first since it's a new technology and you don't have much background in programming.</p> <p>Since you don't have much experience in C (or C++), CUDA will be a pain to learn since it lacks maturity, libs, nice error messages, etc.</p> <p>CUDA is meant for people who are familiar with C (C++ experience helps too) and have a problem which needs performance improvement by recoding or rethinking the solution of a well known problem.</p> <p>If you're trying to solve "ANN/Bayesian" problems I would recommend creating your solution in C++ or C, your choice. Don't bother about creating threads or multithreading. Then, after evaluation the response times of your serial solution try to make it parallel by using OpenMP, Boost threads, w/e. After this, if you still need more performance, then I would recommend learning CUDA.</p> <p>I think these are valid points because CUDA has some pretty cryptic errors, hard to debug, totally different architecture, etc.</p> <p>If you're still interested, these are some links to learn CUDA:</p> <p>Online courses:</p> <ul> <li><a href="http://gamma.cs.unc.edu/GPGP/schedule.html" rel="nofollow noreferrer">GPGP</a></li> <li><a href="http://www.seas.upenn.edu/~cis665/" rel="nofollow noreferrer">CIS 665</a></li> <li><a href="http://www.pas.rochester.edu/~rge21/computing/gpucomputing/" rel="nofollow noreferrer">Richard Edgar's GPU Computing Pages</a></li> </ul> <p>Forum (the best source of information):</p> <ul> <li><a href="http://forums.nvidia.com/index.php?showforum=62" rel="nofollow noreferrer">NVIDIA CUDA Forum</a></li> </ul> <p>Tools:</p> <ul> <li><a href="http://www.gpgpu.org/developer/cudpp/" rel="nofollow noreferrer">CUDPP</a></li> </ul> <p>Problems solved in CUDA:</p> <ul> <li><a href="http://www.caam.rice.edu/~timwar/RMMC/gpuDG.html" rel="nofollow noreferrer">gpuDG</a></li> <li><a href="http://users.rsise.anu.edu.au/~ramtin/cuda.htm" rel="nofollow noreferrer">Histogram Computation</a></li> </ul>
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    1. POAdvice for a C, CUDA, & ANN Newbie?
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    1. USEdison Gustavo Muenz
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    1. COThanks for your advice. I know that learning CUDA is a big undertaking for someone without much (or in my case, hardly any) C/C++ experience, and I'll likely start out with some of the other, more novice-friendly, things you recommended.
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      1. USKyle Lowry
 

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