1
0
mirror of https://github.com/TREX-CoE/qmckl.git synced 2025-04-17 14:10:11 +02:00
Aurélien Delval b57ea3f1a6 Link libvfc_probes and libvfc_probes_f when CI support enabled
Those 2 libraries used to be linked in an IF statement of the
Makefile.am when the support for Verificarlo CI was enabled. This seemed
to have beeb removed accidentally when merging changes from the main repository.
2021-07-27 11:23:30 +02:00
2021-07-26 09:31:06 +02:00
2021-05-07 12:47:56 +02:00
2021-04-21 12:44:03 +02:00
2021-06-03 01:32:50 +02:00
2021-07-26 09:31:38 +02:00
2021-05-12 02:20:39 +02:00
2021-07-23 12:01:14 +02:00
2021-05-10 23:56:26 +02:00
2021-05-12 23:16:09 +02:00
2021-05-10 23:56:26 +02:00
2021-05-11 11:45:49 +02:00
2021-05-10 23:56:26 +02:00
2020-10-13 15:08:11 +02:00
2021-05-10 23:56:26 +02:00
2021-05-11 11:45:49 +02:00
2021-06-21 11:20:34 +02:00
2021-03-05 03:45:30 +01:00

QMCkl: Quantum Monte Carlo Kernel Library

Build Status

The domain of quantum chemistry needs a library in which the main kernels of Quantum Monte Carlo (QMC) methods are implemented. In the library proposed in this project, we expose the main algorithms in a simple language and provide a standard API and tests to enable the development of high-performance QMCkl implementations taking advantage of modern hardware.

See the source code to read the documentation.

To clone the repository, use:

git clone https://github.com/TREX-CoE/qmckl.git

Installation

The simplest way to obtain the source files of QMCkl is to download a source distribution. This particular repository is for maintainers, who write the kernels in org-mode files and produce the source code and the documentation from these files.

For maintainers

./autogen.sh
QMCKL_DEVEL=1 ./configure --prefix=$PWD/_install --enable-silent-rules --enable-maintainer-mode

make
make check

For users

Obtain a source distribution and run

./configure 
make
make check
sudo make install
sudo make installcheck

European flag TREX: Targeting Real Chemical Accuracy at the Exascale project has received funding from the European Unions Horizon 2020 - Research and Innovation program - under grant agreement no. 952165. The content of this document does not represent the opinion of the European Union, and the European Union is not responsible for any use that might be made of such content.

Description
No description provided
Readme BSD-3-Clause 100 MiB
Languages
Python 71.9%
C 22.3%
M4 2.6%
CSS 1%
Shell 0.7%
Other 1.5%