triqs 2.0 build with bionic base image including mpich, mkl etc.
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This repository contains the dockerfiles we use to build DFT codes for use on supercomputers.
Dockerfiles for the following codes are available:
triqs 2.0 (https://triqs.github.io/triqs/master/) built with MPICH and MKL from base-bionic-sci-pythonThe base images provide a reproducible environment to compile applications with specific versions of compilers, libraries and MPI.
Currently, we have:
base-gnu: Ubuntu 16.04 with gcc/gfortran 5.4.1, MKL 2018.3, MPICH 3.1.4base-cuda: Same as above, but with nvidia/cuda:9.0-ubuntu16.04 as base imagebase-bionic-gnu: Ubuntu 18.04 with gcc/gfortran 7.3.0, MKL 2018.3, MPICH 3.1.4, boost 1.68base-bionic-sci-python: same Ubuntu 18.04 as above plus numpy, scipy, mpi4py, h5py (all built manually with MKL and MPICH)These images can be pulled from Dockerhub at https://hub.docker.com/u/materialstheory/.
Content type
Image
Digest
Size
1.6 GB
Last updated
over 6 years ago
docker pull materialstheory/triqs