Resources for Learning CUDA and OpenCL for Heterogeneous Computing

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A user has been offered a research position that requires knowledge of specific computing architectures and is seeking book recommendations. For those working with a Fermi-Cluster, "GPU Computing Gems Emerald Edition" is suggested as a valuable resource. In contrast, for non-homogeneous CPU clusters, there is less clarity on recommendations, although OpenCL is mentioned as a potential solution for handling such architectures, with the caveat that it may require adjustments to initialization options in the code. Overall, the discussion emphasizes the importance of understanding the specific architecture involved in the research position to select appropriate resources.
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I have been offered a research position which requires knowledge of these. Both are easily acquired and I should have everything running by tonight. What books or documents would anyone recommend on these?
 
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I have no idea what kind of an architecture you're dealing with...

If you're dealing with something like a Fermi-Cluster:

1) GPU Computing Gems Emerald Edition
https://www.amazon.com/dp/0123849888/?tag=pfamazon01-20

If you're dealing with a non-homogeneous cluster of CPU's; I don't have a good recommendation, I have read that OpenCL can handle this easily, but I've not actually worked with this kind of an application... I think that would merely require changing some of the initialization options in the code.
 
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