Resources for Learning CUDA and OpenCL for Heterogeneous Computing

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SUMMARY

This discussion focuses on resources for learning CUDA and OpenCL, essential for heterogeneous computing. The recommended book for GPU architecture is "GPU Computing Gems Emerald Edition," which provides valuable insights into CUDA programming. For non-homogeneous clusters utilizing OpenCL, the discussion highlights that while OpenCL can manage such architectures, specific recommendations for literature are lacking. The participant expresses confidence in acquiring the necessary knowledge quickly.

PREREQUISITES
  • Understanding of CUDA programming and its applications
  • Familiarity with OpenCL and its architecture
  • Basic knowledge of heterogeneous computing concepts
  • Experience with GPU architectures, specifically Fermi-Clusters
NEXT STEPS
  • Read "GPU Computing Gems Emerald Edition" for in-depth CUDA knowledge
  • Explore OpenCL documentation for handling non-homogeneous clusters
  • Research initialization options in OpenCL for diverse CPU architectures
  • Investigate case studies on heterogeneous computing applications
USEFUL FOR

Researchers, developers, and students interested in mastering CUDA and OpenCL for heterogeneous computing applications.

Fusiontron
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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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