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Asked: 2026-05-14T06:41:25+00:00

I’m investigating ways of using GPU in order to process streaming data. I had

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I’m investigating ways of using GPU in order to process streaming data. I had two choices but couldn’t decide which way to go?

My criterias are as follows:

  1. Ease of use (good API)
  2. Community and Documentation
  3. Performance
  4. Future

I’ll code in C and C++ under linux.

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1 Answer

  1. Editorial Team

    OpenCL

    • interfaced from your production code
    • portable between different graphics hardware
    • limited operations but preprepared shortcuts

    CUDA

    • separate language (CUDA C)
    • nVidia hardware only
    • almost full control over the code (coding in a C-like language)
    • lot of profiling and debugging tools

    Bottom line — OpenCL is portable, CUDA is nVidia only. However, being an independent language, CUDA is much more powerful and has a bunch of really good tools.

    1. Ease of use — OpenCL is easier to use out of the box, but once you setup the CUDA coding environment it’s almost like coding in C.
    2. Community and Documentation — both have extensive documentation and examples, however I think CUDA has better.
    3. Performance — CUDA allows for greater control, hence can be better fine-tuned for higher performance.
    4. Future — hard to say really.
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