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https://devblogs.nvidia.com/building-cuda-applications-cmake/
Aug 01, 2017 · Since 2009, CMake (starting with 2.8.0) has provided the ability to compile CUDA code through custom commands such as cuda_add_executable, and cuda_add_library provided by the FindCUDA package. CMake 3.8 makes CUDA C++ an intrinsically supported language.
https://devtalk.nvidia.com/default/topic/1014106/separate-compilation-of-cuda-code-into-library-for-use-with-existing-code-base/
Jun 15, 2017 · Usually nvcc picks the g++ version that it officially supports in the respective CUDA toolkit. By overriding this with -ccbin you're making it use a possibly incompatible version (the system default compiler).
https://www.pyimagesearch.com/2016/07/11/compiling-opencv-with-cuda-support/
Jul 11, 2016 · Overall, the instructions are near identical, but with a few important changes inside the cmake command, allowing us to compile OpenCV with CUDA support. By the time you finish reading this blog post, you’ll have OpenCV with CUDA support compiled and installed in your deep learning development environment.
https://stackoverflow.com/questions/45462411/code-parsing-not-working-with-cuda-clion-and-cmake
Code parsing not working with CUDA, Clion and CMake. Ask Question Asked 2 years, ... It seems like without the intervention of Jetbrains to add official CUDA support, the most I could get out of the combo CLion + CMake + CUDA was achieved by: ... This is only needed for CLion as the CUDA compiler doesn't need this includes to compile properly ...
https://medium.com/@cjanze/how-to-install-tensorflow-with-gpu-support-on-ubuntu-18-04-lts-with-cuda-10-nvidia-gpu-312a693744b5
Dec 19, 2018 · How to install TensorFlow 1.13 with GPU support on Ubuntu 18.04 LTS + CUDA 10.0. The purpose of this guide is to demonstrate how to install TensorFlow on Ubuntu 18.04 LTS using CUDA-enabled NVIDIA GPU’s. No prior experience with Ubuntu or …Author: Christian Janze
https://answers.opencv.org/question/121767/opencv-error-no-gpu-support-the-library-is-compiled-without-cuda-support/
cmake -d with_cuda=on -d cuda_arch_bin="5.3" -d cuda_arch_ptx="" -d build_tests=off -d build_perf_tests=off -d cuda_fast_math=on .. Is there any err ? I don't understand.
https://medium.com/repro-repo/install-cuda-9-2-and-cudnn-7-1-for-tensorflow-pytorch-gpu-on-ubuntu-16-04-1822ab4b2421
Jul 30, 2018 · NVIDIA recently released CUDA 9.2 and cuDNN 7.1, which have been supported by PyTorch but not TensorFlow. To take advantage of them, here’s my working installation instructions, based on my ...
http://www.bu.edu/tech/support/research/software-and-programming/programming/multiprocessor/gpu-computing/cuda-fortran/
You should do your compiling of CUDA Fortran programs on one of our nodes with GPUs, not on the login nodes. You can get access to a GPU-equipped node by running the command below. You can get access to a GPU-equipped node by running the command below.
https://developer.nvidia.com/cuda-math-library
High-Performance Math Routines The CUDA Math library is an industry proven, highly accurate collection of standard mathematical functions. Available to any CUDA C or CUDA C++ application simply by adding “#include math.h” in your source code, the CUDA Math library ensures that your application benefits from high performance math routines optimized for every NVIDIA …
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