hpddm (math/hpddm) Updated: 4 months ago Add to my watchlist

a framework for high-performance domain decomposition methods

HPDDM is an efficient implementation of various domain decomposition methods.

Version: 2.2.5 License: LGPL-3+

GitHub

Maintainers	MarcusCalhoun-Lopez catap
Categories	science math
Homepage	https://github.com/hpddm/hpddm
Platforms	darwin
Variants	accelerate (Build with linear algebra from built-in Accelerate framework) atlas (Build with linear algebra from ATLAS) clang10 (Build using the MacPorts clang 10 compiler) clang11 (Build using the MacPorts clang 11 compiler) clang12 (Build using the MacPorts clang 12 compiler) clang13 (Build using the MacPorts clang 13 compiler) clang14 (Build using the MacPorts clang 14 compiler) clang15 (Build using the MacPorts clang 15 compiler) clang16 (Build using the MacPorts clang 16 compiler) clang17 (Build using the MacPorts clang 17 compiler) clang90 (Build using the MacPorts clang 9.0 compiler) g95 (Build using the g95 Fortran compiler) gcc10 (Build using the MacPorts gcc 10 compiler) gcc11 (Build using the MacPorts gcc 11 compiler) gcc12 (Build using the MacPorts gcc 12 compiler) gcc13 (Build using the MacPorts gcc 13 compiler) gfortran (Build using the MacPorts gcc 13 Fortran compiler) mpich (Build using the MPICH compiler) openblas (Build with linear algebra from OpenBLAS) openmpi (Build using the OpenMPI compiler) universal (Build for multiple architectures)

arpack

hypre

libgcc

mpich-clang16

mumps

python311

scalapack

vecLibFort

clang-16

gcc13

py311-mpi4py

py311-numpy

py311-scipy

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hpddm seems to have been updated (port version: 2.2.5, new version: 2.3.0)

livecheck ran: 1 day, 11 hours ago