How to run CUDA without a GPU using a software implementation?

北城余情 提交于 2019-11-29 04:10:44
Nils

The easiest way to get started with GPU development is to get a cheap (for example GTX285) GPU and a desktop computer (obviously since u can't change the GPU in your laptop).

There are a few research projects on getting CUDA kernels to work efficiently on CPUs as well as on FPGAs (Google wen mei hwu and see his research projects) however if you want to learn CUDA this is not for you, as said above the easiest way is to get some cheap hardware.

Have you downloaded the CUDA toolkit? You'll need to download the toolkit (which includes the compiler and the runtime library) and the SDK. When you are building the SDK samples be sure to change the configuration to "EmuDebug" or "EmuRelease".

Nowadays we have OpenCL. It's works on almost every hardware you can have: CPUs, GPUs (nvidia or amd), APUs, FPGAs etc.

(I reached here searching for CUDA compilation in a non nvidia hardware - for comparison purposes with OpenCL - but apparently it's still works on nvidia only. Sad :/).

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