Meeting
Live Q&A - Hands-on With CUDA-C on a Nvidia Jetson Nano GPU
Mohammed Billoo
19:31
Live Q&A with Mohammed Billoo for the talk titled Hands-on With CUDA-C on a Nvidia Jetson Nano GPU
RaulPando
Score: 0 | 2 years ago | 1 reply
mabSpeaker
Score: 0 | 2 years ago | no reply
Hi,
Great questions! Ultimately, vectors in the C++ STL are essentially C arrays under the hood with some extra features (e.g. automatically re-allocating memory as needed, optimally accessing elements). I would actually caution in using C++ vectors initially, since it's important to ensure that memory is aligned properly when passing data to the GPU. Otherwise, you risk losing the benefits of a GPU. CUDA supports exist in The Yocto Project. You can check out the meta-tegra layer here: https://github.com/OE4T/meta-tegra. I'll look to author another blog post on adding CUDA support, along with cross-compiling CUDA-C applications when using The Yocto Project.
Thanks for a very informative presentation, as always. I particularly liked the "gotchas" one should keep in mind to leverage efficient parallelisation.
In your opinion, would you consider C++'s intrinsic nature of vector manipulation to generally more fitting than C when interfacing with CUDA or maybe when passing back the results to the host?
Do you know how available CUDA when it comes to integration with the Yocto project?
Looking forward to the follow-up article :)