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installation
Install g++ using the following command:
> sudo apt-get install g++
Check the version of g++ installed:
> g++ --version
Other development and version control tools can be installed by following the instructions under Step 1 in the CompilingEasyHowTo page on the Ubuntu Community Help Wiki. Software developers will find it useful to install all of them.
Download and install the CUDA Toolkit.
Check the version of NVCC installed:
> nvcc --version
CUSP is a library that provides routines to perform sparse linear algebra computations on Graphics Processing Units. It is written using the CUDA programming language and runs code on compatible NVIDIA GPUs.
CUSP is currently hosted on GitHub. cuIBM has been tested and works with version 0.5.1, available for download here.
> export CUSP_DIR=$HOME/software/cusp/0.5.1
> mkdir -p $CUSP_DIR
> wget https://github.com/cusplibrary/cusplibrary/archive/v0.5.1.tar.gz
> tar -xvf v0.5.1.tar.gz -C $CUSP_DIR --strip-components=1
> rm -f v0.5.1.tar.gz
In cuIBM, we use the parser YAML-CPP (version 0.5.1 bundled in cuIBM) that requires header files from the Boost library.
> export BOOST_DIR=$HOME/software/boost/1.64.0
> mkdir -p $BOOST_DIR
> wget https://dl.bintray.com/boostorg/release/1.64.0/source/boost_1_64_0.tar.gz
> tar -xvf boost_1_64_0.tar.gz -C $BOOST_DIR --strip-components=1
> rm -f boost_1_64_0.tar.gz
Clone cuIBM:
> mkdir -p $HOME/software
> cd $HOME/software
> git clone https://github.com/barbagroup/cuIBM.git
To compile cuIBM, make sure you have set correctly the environment variables CUSP_DIR and BOOST_DIR to point to their respective folder:
> export CUSP_DIR=$HOME/software/cusp/0.5.1
> export BOOST_DIR=$HOME/software/boost/1.64.0
We also recommend setting the environment variable CUIBM_DIR to point to the
location of the cuIBM folder. While the code can be compiled and run without
setting this variable, some of the validation scripts provided make use of it.
> export CUIBM_DIR=$HOME/software/cuIBM
To compile cuIBM, navigate to the cuIBM directory:
> cd $HOME/software/cuIBM
or
> cd $CUIBM_DIR
then, run make:
> make
Note: the current Makefile compiles cuIBM with the flag -arch=sm_35 (compute capability of 3.5). You should adapt the Makefile if your NVidia card has a different compute capability.
Run an example (2D flow around cylinder at Re=40) to check that cuIBM has been built correctly:
> bin/cuibm -directory examples/cylinder/Re40
Finally, you can add cuIBM to your path:
> export PATH="$HOME/software/cuIBM/bin:$PATH"