CUDA / OpenCL learning sources?

agolangf · · 906 次点击    
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<p>So I&#39;ve been trying to find a good book for learning <strong>CUDA</strong> and <strong>OpenCL</strong> implementation with Go, or even a PDF, or a video. But all i see to find is the <a href="">same article</a> for CUDA, which is more of a demonstration, and even worse with OpenCL where nothing is avaliable (at least that I have been able to find..).</p> <p>Now of course the packages functions are correctly documentated, as usual. But it isn&#39;t of much usefulness without a proper guide or introduction to it.</p> <p>Any sources, if there are any at all, would be much appreciated :)</p> <hr/>**评论:**<br/><br/>mwholt: <pre><p>I&#39;ve never done CUDA in Go (would be surprised if it was worth it) but here&#39;s an awesome guide: <a href=""></a></p></pre>DarkAnHell: <pre><p>Awesome, seems good at a first glance. Thanks for sharing, I will definetly spend some time with it.</p> <p>Also, still nothing about OpenCL (?). Seems weird to me that no one bothered writing something about it</p></pre>picardo: <pre><p>Not a book, but there is a course on Coursera called <a href="" rel="nofollow">Heterogeneous Parallel Programming</a> that covers CUDA.</p></pre>DarkAnHell: <pre><p>Will take a look, thanks :)</p></pre>space-llama: <pre><p>I&#39;ve tried to go down this route for a project that was supposed to run on a dozen GPU-heavy machines, but found the community support for CUDA via Go kinda lacking. Basically all of the concerns I had about the right way to work with CUDA were answered by specific examples in official docs, not GitHub Issues for projects. Try the C++ libraries, especially Thrust, it&#39;s soooooo much easier (<a href="" rel="nofollow"></a>) and more...appropriate? </p></pre>DarkAnHell: <pre><p>Oh well, I guess i&#39;m out of luck with Go here. Thanks for the recomendation, i will keep it in mind</p></pre>
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