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Editorial Team
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Asked: 2026-05-25T12:10:00+00:00

I’m new to the GPU Programming world, I’ve tried reading on Wikipedia and Googling,

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I’m new to the GPU Programming world, I’ve tried reading on Wikipedia and Googling, but I still have several questions:

  • I downloaded some GPU Examples, for CUDA, there were some .cu files and some CPP files, but all the code was normal C/C++ Code just some weird functions like cudaMemcpyToSymbol and the rest was pure c code. The question is, is the .cu code compiled with nvcc and then linked with gcc? Or how is it programmed?

  • if I coded something to be run on GPU, will it run on ALL GPUs? or just CUDA? or is there a method to write for CUDA and a Method to write for ATI and a method to write for both?

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  1. Editorial Team

    To answer your second question:

    OpenCL is the (only) way to go if you want to write platform independent GPGPU code.

    ATIs website actually has a lot of resources for OpenCL if you search a little, and their example projects are very easy to modify into what you need, or just to understand the code.

    The OpenCL spec and reference pages is also a very good source of knowledge:
    http://www.khronos.org/registry/cl/sdk/1.1/docs/man/xhtml/
    http://www.khronos.org/registry/cl/specs/opencl-1.1.pdf

    There are a lot of talks that explain some of the core concepts, and also that explain how to write fast code that I would recommend (that is applicable to CUDA too).

    To almost answer your first question:
    In OpenCL, the code is compiled at runtime to the specific GPU you’re using (to guarantee speed).

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