Skip to end of metadata
Go to start of metadata

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 7 Next »

ขั้นตอนการติดตั้ง Amber20

  1. Obtain Amber20 at http://ambermd.org and download source codes

  2. Upload and extract amber source codes at your project home director

    cd /tarafs/data/project/projxxxx  #change projxxxx to your project ID  
tar xvfj AmberTools20.tar.bz2  
tar xvfj Amber20.tar.bz2

  3. Set the AMBERHOME home directory environment variable

    cd amber20_src
export AMBERHOME=$PWD

  4. Load modules and prepare for AMBER20 installation 

    module purge
module load bzip2/1.0.8-GCCcore-8.3.0
module load GCC/8.3.0
module load XZ/5.2.4-GCCcore-8.3.0

  5. Go to the amber directory and execute the compilation script

    cd $AMBERHOME
./configure -noX11 gnu

  6. Install and test

    source ./amber.sh
make install
make test

  7. After the installation is successful, you can compile parallel (MPI) versions of Amber20 by load OpenMPI module

    module load OpenMPI/3.1.4-GCC-8.3.0

  8. Then, recompilation with MPI

    ./configure -mpi -noX11 gnu
make install

ขั้นตอนการ compile Amber20 สำหรับการใช้งานบน GPU

หลังจากทำการ compile การตามขั้นตอนก่อนหน้าเรียบร้อยแล้ว ให้ทำการ complie สำหรับการใช้งานบนระบบ GPU ดังขั้นตอนต่อไปนี้

  1. Go to the AMBERHOME home directory environment variable

    cd /tarafs/data/project/projxxxx  #change projxxxx to your project ID  
cd amber20_src
export AMBERHOME=$PWD

  2. Load modules and prepare for AMBER20 installation

    module purge
module load bzip2/1.0.8-GCCcore-8.3.0
module load XZ/5.2.4-GCCcore-8.3.0
module load gcccuda/2019b
module load CUDA/10.1.243

  3. Go to the amber directory and execute the compilation script for the installation with cuda

    cd $AMBERHOME
./configure -noX11 -cuda gnu
make install

  4. Testing

    make test.cuda_serial

  5. After the installation is successful, you can compile parallel (MPI) versions with cuda

    module load OpenMPI/3.1.4-gcccuda-2019b
module load NCCL/2.4.8-gcccuda-2019b
export NCCL_HOME=/tarafs/utils/modules/software/NCCL/2.4.8-gcccuda-2019b/

  6. Then, recompilation with MPI for GPU 

    ./configure -noX11 -cuda -mpi -nccl gnu
make install

Related articles

  • No labels