DBCSR is a library designed to efficiently perform sparse
matrix-matrix multiplication, among other operations.
It is MPI and OpenMP parallel and can exploit Nvidia and AMD GPUs via
CUDA and HIP.
DBCSR was developed as a part of CP2K, where it provides core
functionality for linear scaling electronic structure theory. It is
now released as a standalone library for integration in other projects.
This requires a MPI implementation, however the package isn't working
with mpich. Use openmpi instead.
* HIP and OpenCL still experimental
This requires: blas, lapack, python3-fypp, openmpi
Maintained by: William PC
Keywords: parallel processing,numerical linear algebra,optimization
ChangeLog: dbcsr
Homepage:
https://github.com/cp2k/dbcsr
Download SlackBuild:
dbcsr.tar.gz
dbcsr.tar.gz.asc (FAQ)
(the SlackBuild does not include the source)
Individual Files: |
README |
dbcsr.SlackBuild |
dbcsr.info |
slack-desc |
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