Cuda c makefile example how to#
Cuda c makefile example software#

Then create bin (choose another name if you want) directory next to src. So, create CMakeLists.txt file and place it in your sources directory (say src). You can manually specify the path to the cuda library when compiling. While this is the default path for an Ubuntu 64-bit system with the CUDA toolkit installed using the package manager apt, it might be different on your system.

Cuda c makefile example how to#

It aso switches on new (phah, new for 3 years :)) C++ standart. The default CUDA library path in the Makefile is set to be /usr/local/cuda/lib64. How to install OpenCV 4.5.2 with CUDA 11.2 and CUDNN 8.2 in Ubuntu 20.04.

Cuda c makefile example software#

I prefer to choose one to reduce compilation time. CUDA (Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing unit (GPU) for general purpose processing an approach called general-purpose computing on GPUs (GPGPU).

IРІР‚в„ўve also included lines for newer GPU architectures (feel free to uncomment them).

This file automatically adds all sources in the same directory it is placed. CMAKE_MINIMUM_REQUIRED( VERSION 2.8) PROJECT( lbmslv) FIND_PACKAGE( CUDA REQUIRED) FIND_PACKAGE( MPI REQUIRED) INCLUDE( FindCUDA) INCLUDE_DIRECTORIES( /usr/local/cuda/include $) Building Cross-Platform CUDA Applications with CMake Cross-platform software development poses a number of challenges to your applicationРІР‚в„ўs build process. This repo is a sample Makefile for building a project that has both C++ (.cpp and.