142 lines
2.6 KiB
Markdown
142 lines
2.6 KiB
Markdown
## Contents ##
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* [Prerequisites](CompilationInstructions#Prerequisites.md)
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* [Windows](CompilationInstructions#Windows.md)
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* [Visual Studio 8](CompilationInstructions#Visual_Studio_8.md)
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* [CMake and Visual Studio 7](CompilationInstructions#CMake_and_Visual_Studio_7.md)
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* [CMake and Visual Studio 8](CompilationInstructions#CMake_and_Visual_Studio_8.md)
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* [CMake and Visual Studio 10](CompilationInstructions#CMake_and_Visual_Studio_10.md)
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* [Linux](CompilationInstructions#Linux.md)
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* [Mac OSX](CompilationInstructions#Mac_OSX.md)
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## Prerequisites ##
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Project files are provided for Visual Studio 8. For all other platforms and targets you will need to install CMake. You can download it from:
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http://www.cmake.org/cmake/resources/software.html
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In order to compile the CUDA accelerated compressors you need to install CUDA:
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http://www.nvidia.com/object/cuda_get.html
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Note that CUDA is not free software and is not supported on all platforms.
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In addition to that, the command line tools also need the following libraries:
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* libpng
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* libjpeg
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* ...
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Note that the sources already include these libraries precompiled for 32 bit windows.
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## Windows ##
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### Visual Studio 8 ###
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Simply open the solution file:
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```
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projects/vc8/nvtt.sln
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```
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and build all (Ctrl + Shift + B).
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### CMake and Visual Studio 7 ###
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Run the following commands:
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```
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$ mkdir vc7
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$ cd vc7
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$ cmake .. -DNVTT_SHARED=1 -G "Visual Studio 7 2003 .NET"
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```
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open the generated solution file:
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```
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vc7/NV.sln
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```
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and build all (Ctrl + Shift + B).
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### CMake and Visual Studio 8 ###
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Run the following commands:
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```
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$ mkdir vc8
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$ cd vc8
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$ cmake .. -DNVTT_SHARED=1 -G "Visual Studio 8 2005"
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```
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open the generated solution file:
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```
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vc8/NV.sln
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```
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and build all (Ctrl + Shift + B).
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### CMake and Visual Studio 10 ###
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Run the following commands:
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```
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$ mkdir vc10
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$ cd vc10
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$ cmake .. -DNVTT_SHARED=1 -G "Visual Studio 10"
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```
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open the generated solution file:
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```
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vc10/NV.sln
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```
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and build all (Ctrl + Shift + B).
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### CMake + MinGW ###
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Note that CUDA does not currently support the MinGW compiler. This target is not supported yet, but may work if CUDA is not enabled.
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## Linux ##
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If you are running Debian or Ubuntu you can install the required libraries as follows:
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```
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sudo apt-get install ...
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```
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On other distributions you will have to use the corresponding package manager.
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Then compile and install the sources as follows:
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```
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$ ./configure
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$ make
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$ sudo make install
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```
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## Mac OSX ##
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Install the required libraries as follows:
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```
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$ sudo port install ...
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```
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Then compile and install the sources as follows:
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```
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$ ./configure
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$ make
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$ sudo make install
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``` |