Maybe it would be good to add some wiki page for CUDA. Thanks to all who replied in this thread and helped me with it! Last edited by Marcinnnn on Sat 7:46 pm edited 1 time in total So it looks like all work file with just nvidia-cuda-sdk and nvidia-cuda-toolkit. Problems mentioned above are from - they seems to be old, requiring old stdlibc and building in many subfolders. usr/lib/gcc/x86_64-pc-linux-gnu/9.2.0/././././x86_64-pc-linux-gnu/bin/ld: cannot find -lshrutil_x86_64 I had already downloaded and installed CUDA toolkit. I have impression that scripts in example code does not foresee finding proper lib dir for Gentoo. I just need to figure out where it it looking for libs cause I had to copy libGL.so and libGLU.so to /opt/cuda/sdk/5_Simulations/oceanFFT to have it complied.įor CUDA best trick is GLPATH=/usr/lib64 make instead of make. Now I'm admiring ocean view from my compiled /opt/cuda/sdk/5_Simulations/oceanFFT. For exmaple I don't have cuda-install-samples command.Ĭuda stuff is in /opt/cuda/ and examples I'm looking for in sdk folder. To /etc/portage/package.accept_keywords and emerged both but still have some things missing.
#NVIDIA CUDA TOOLKIT OPENCL FULL#
Thanks in advance for any thought and/or advice. No, neither the hashcat binaries download nor by hashcat download via Kali Linux repositories include the Nvidia CUDA Toolkit the Nvidia CUDA Toolkit must be downloaded separately- feel free to review my full gist on GitHub.Hope that helps Installing the Nvidia CUDA Toolkit 10.0 Installing the Nvidia CUDA Toolkit 10.0 for Ubuntu 18. It would be great to have a reply from someone experienced with programming on GPU.
#NVIDIA CUDA TOOLKIT OPENCL HOW TO#
Potential bugs or overall high uncertainty about results is not good in my case here - I'm simply not able to verify results of my calculations easily.ĭoes it mean that I need to install some other distro to have proper tools? How to handle it? Which implementation are I should use? dev-util/nvidia-cuda-toolkit is masked From Nvidia website: With the CUDA Toolkit from. OpenCL: again I can see that some OpenCL implementations are masked. To my knowledge, CUDA hardware acceleration does not run on non-Nvidia hardware it requires a CUDA chip. I can download some code from but is it full of what I would get downloading for example deb package? Or maybe I should emerge rpm/dkpg and download official rpm/deb from NVIDIA site? Actually both are interesting and I would like to use both on my Gentoo. OpenCL is open source but CUDA should be better for my card. I have quite good graphic card (RTX 2080 TI) and want to make a use of it for various stuff. Posted: Sat 12:04 am Post subject: Programming on GPU - CUDA, OpenCL
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