TwoFieldMPM - Run by Bow

Compile CRAMP (and replicate current 3D issue)

mkdir build
cd build
cmake .. -DCMAKE_BUILD_TYPE=Release
make cramp -j8
cd bin
./cramp 300

or

python build.py

Excutables are collected in the bin folder

Compile on OSX

Alternative to gcc, one can also use brew install llvm to install llvm and specify the compiler in cmake cmake .. -DCMAKE_BUILD_TYPE=Release -DCMAKE_C_COMPILER=/usr/local/opt/llvm/bin/clang -DCMAKE_CXX_COMPILER=/usr/local/opt/llvm/bin/clang++ to compile.

Optional Dependencies

CUDA (used by AMGCL)

Put the following in ~/.bashrc for correct CUDA linking

export PATH="/usr/local/cuda-10.1/bin/:$PATH"
export LD_LIBRARY_PATH="/usr/local/cuda-10.1/lib64:$LD_LIBRARY_PATH"
export CUDA_HOME="/usr/local/cuda-10.1"
export CUDA_PATH="/usr/local/cuda-10.1"

SuiteSparse

1. Install MKL (Intel Math Kernel Library, free tools for students)

2. Build SuiteSparse from source (with MKL linking flags)

sudo apt install libomp-dev libmpc-dev

## Add the following lines into ~/.zshrc
export PATH=/snap/clion/current/bin/cmake/linux/bin:$PATH
export LIBRARY_PATH=/opt/intel/oneapi/mkl/2021.3.0/lib/intel64:$LIBRARY_PATH
export LD_LIBRARY_PATH=/opt/intel/oneapi/mkl/2021.3.0/lib/intel64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=/opt/intel/oneapi/compiler/2021.3.0/linux/compiler/lib/intel64_lin:$LD_LIBRARY_PATH
export LD_PRELOAD=/opt/intel/oneapi/mkl/2021.3.0/lib/intel64/libmkl_def.so.1:/opt/intel/oneapi/mkl/2021.3.0/lib/intel64/libmkl_avx2.so.1:/opt/intel/oneapi/mkl/2021.3.0/lib/intel64/libmkl_core.so:/opt/intel/oneapi/mkl/2021.3.0/lib/intel64/libmkl_intel_lp64.so:/opt/intel/oneapi/mkl/2021.3.0/lib/intel64/libmkl_intel_thread.so:/opt/intel/oneapi/compiler/2021.3.0/linux/compiler/lib/intel64_lin/libiomp5.so

git clone https://github.com/DrTimothyAldenDavis/SuiteSparse.git
cd SuiteSparse
vim SuiteSparse_config/SuiteSparse_config.mk

## Modify CUDA_PATH like: CUDA_PATH = /usr/local/cuda-10.1
## Update CUDA architecture (e.g. remove -gencode=arch=compute_30,code=sm_30 \)

make library BLAS='-lmkl_intel_lp64 -lmkl_core -lmkl_intel_thread -lpthread -lm -lmkl_blacs_intelmpi_lp64 -liomp5' LAPACK='-lmkl_scalapack_lp64' -j 12
sudo cp -r lib /usr/local
sudo cp -r include /usr/local

3. Set environment variable Add the following line to your .bashrc:

export SuiteSparse_ROOT=/home/xuan/code/SuiteSparse

4. Set thread number per linear solver

export MKL_NUM_THREADS=16
export OMP_NUM_THREADS=16
export VECLIB_MAXIMUM_THREADS=16

Note that different OS can have different environment variable to control it.

Create your own projects

CMake will automatically add subdirectories under projects folder which contain CMakeLists.txt. To create a new project that depends on Bow, clone your cmake project under project folder and compile Bow as usual.