diff --git a/sci-libs/magma/Manifest b/sci-libs/magma/Manifest new file mode 100644 index 0000000000..49e0885d06 --- /dev/null +++ b/sci-libs/magma/Manifest @@ -0,0 +1 @@ +DIST magma-2.6.2.tar.gz 10239690 BLAKE2B b1c13bdc89b05ef1f2d67e0a3c3a2a6152594ea173195190d46f010f5b5e060bb3888dac74e317893bbd8e5a9f8791c3f3b397f3b1b934d5bd6461c1a2e344a4 SHA512 c6c2665e7eedd1a8425c1ac3c053c22b3f7326b796404cf2aa4f99322146a95cf7be0323a88c2d92a713b083db5bc30150142958426a9d5ddb4eaa2a8044d95a diff --git a/sci-libs/magma/magma-2.6.2.ebuild b/sci-libs/magma/magma-2.6.2.ebuild new file mode 100644 index 0000000000..95bcf8ca4b --- /dev/null +++ b/sci-libs/magma/magma-2.6.2.ebuild @@ -0,0 +1,120 @@ +# Copyright 1999-2022 Gentoo Authors +# Distributed under the terms of the GNU General Public License v2 + +EAPI=8 + +FORTRAN_STANDARD="77 90" +PYTHON_COMPAT=( python3_{8..11} ) + +inherit cmake fortran-2 python-any-r1 toolchain-funcs + +MY_PV=$(ver_rs 3 '-') + +DESCRIPTION="Matrix Algebra on GPU and Multicore Architectures" +HOMEPAGE=" + https://icl.cs.utk.edu/magma/ + https://bitbucket.org/icl/magma +" +SRC_URI="https://icl.cs.utk.edu/projectsfiles/${PN}/downloads/${PN}-${MY_PV}.tar.gz" + +LICENSE="BSD" +SLOT="0" +KEYWORDS="~amd64" +IUSE_AMDGPU=" + amdgpu_gfx600 amdgpu_gfx601 amdgpu_gfx602 + amdgpu_gfx700 amdgpu_gfx701 amdgpu_gfx702 amdgpu_gfx703 amdgpu_gfx704 amdgpu_gfx705 + amdgpu_gfx801 amdgpu_gfx802 amdgpu_gfx803 amdgpu_gfx805 amdgpu_gfx810 + amdgpu_gfx900 amdgpu_gfx902 amdgpu_gfx904 amdgpu_gfx906 amdgpu_gfx908 amdgpu_gfx909 amdgpu_gfx90a amdgpu_gfx90c amdgpu_gfx940 + amdgpu_gfx1010 amdgpu_gfx1011 amdgpu_gfx1012 amdgpu_gfx1013 amdgpu_gfx1030 amdgpu_gfx1031 amdgpu_gfx1032 amdgpu_gfx1033 amdgpu_gfx1034 amdgpu_gfx1035 amdgpu_gfx1036 + amdgpu_gfx1100 amdgpu_gfx1101 amdgpu_gfx1102 amdgpu_gfx1103 +" +IUSE="doc openblas test ${IUSE_AMDGPU}" + +RDEPEND=" + openblas? ( sci-libs/openblas ) + !openblas? ( + virtual/blas + virtual/lapack + ) +" +DEPEND=" + ${RDEPEND} + ${PYTHON_DEPS} + dev-util/hip +" +BDEPEND=" + virtual/pkgconfig + doc? ( >=app-doc/doxygen-1.8.14-r1[dot] ) +" + +REQUIRED_USE="^^ ( ${IUSE_AMDGPU/+/} )" +RESTRICT="!test? ( test )" + +pkg_setup() { + fortran-2_pkg_setup + python-any-r1_pkg_setup + tc-check-openmp || die "Need OpenMP to compile ${P}" +} + +src_prepare() { + rm -r blas_fix || die + # distributed pc file not so useful so replace it + cat <<-EOF > ${PN}.pc + prefix=${EPREFIX}/usr + libdir=\${prefix}/$(get_libdir) + includedir=\${prefix}/include/${PN} + Name: ${PN} + Description: ${DESCRIPTION} + Version: ${PV} + URL: ${HOMEPAGE} + Libs: -L\${libdir} -lmagma + Libs.private: -lm -lpthread -ldl + Cflags: -I\${includedir} + Requires: $(usex openblas "openblas" "blas lapack") + EOF + + echo -e 'BACKEND = hip\nFORT = true' > make.inc + emake generate + + cmake_src_prepare +} + +src_configure() { + # other options: Intel10_64lp, Intel10_64lp_seq, Intel10_64ilp, Intel10_64ilp_seq, Intel10_32, FLAME, ACML, Apple, NAS + local blasvendor="Generic" + use openblas && blasvendor="OpenBLAS" + for u in ${IUSE_AMDGPU} ; do + if use ${u} ; then + gpu="${u/amdgpu_/}" + break + fi + done + local mycmakeargs=( + -DBUILD_SHARED_LIBS=ON + -DCMAKE_CXX_COMPILER=hipcc + -DMAGMA_ENABLE_CUDA=OFF + -DMAGMA_ENABLE_HIP=ON + -DUSE_FORTRAN=ON + + -DBLA_VENDOR=${blasvendor} + -DGPU_TARGET=${gpu} + ) + #use fortran || mycmakeargs+=( "-DFORTRAN_CONVENTION=-DADD_" + #use hip && mycmakeargs+=( "-DCMAKE_CXX_COMPILER=hipcc" ) + cmake_src_configure +} + +src_compile() { + cmake_src_compile +} + +src_install() { + cmake_src_install + insinto /usr/include/${PN} + doins include/*.h + insinto /usr/$(get_libdir)/pkgconfig + doins ${PN}.pc + local DOCS=( README ReleaseNotes ) + use doc && local HTML_DOCS=( docs/html/. ) + einstalldocs +} diff --git a/sci-libs/magma/metadata.xml b/sci-libs/magma/metadata.xml new file mode 100644 index 0000000000..95277e4062 --- /dev/null +++ b/sci-libs/magma/metadata.xml @@ -0,0 +1,18 @@ + + + + + co-maintainers welcome + Alessandro Barbieri + lssndrbarbieri@gmail.com + + +The Matrix Algebra on GPU and Multicore Architecture project aims to +develop a dense linear algebra library similar to LAPACK but for +heterogeneous/hybrid architectures, starting with current +"Multicore+GPU" systems. + + + Use OpenBLAS as the BLAS vendor + +