nvpl-blas and nvpl-lapack: new packages for NVidia performance libraries (#41775)

Co-authored-by: Raffaele Solcà <rasolca@cscs.ch>

var/spack/repos/builtin/packages/nvpl-blas/package.py

@@ -0,0 +1,69 @@
+# Copyright 2013-2024 Lawrence Livermore National Security, LLC and other
+# Spack Project Developers. See the top-level COPYRIGHT file for details.
+#
+# SPDX-License-Identifier: (Apache-2.0 OR MIT)
+
+from spack.package import *
+
+
+class NvplBlas(Package):
+    """
+    NVPL BLAS (NVIDIA Performance Libraries BLAS) is part of NVIDIA Performance Libraries
+    that provides standard Fortran 77 BLAS APIs as well as C (CBLAS).
+    """
+
+    homepage = "https://docs.nvidia.com/nvpl/_static/blas/index.html"
+    url = (
+        "https://developer.download.nvidia.com/compute/nvpl/redist"
+        "/nvpl_blas/linux-sbsa/nvpl_blas-linux-sbsa-0.1.0-archive.tar.xz"
+    )
+
+    maintainers("albestro", "rasolca")
+
+    license("UNKNOWN")
+
+    version("0.1.0", sha256="4ccc894593cbcbfaa1a4f3c54505982691971667acf191c9ab0f4252a37c8063")
+
+    provides("blas")
+
+    variant("ilp64", default=False, description="Force 64-bit Fortran native integers")
+    variant(
+        "threads",
+        default="none",
+        description="Multithreading support",
+        values=("openmp", "none"),
+        multi=False,
+    )
+
+    requires("target=armv8.2a:", msg="Any CPU with Arm-v8.2a+ microarch")
+
+    conflicts("%gcc@:7")
+    conflicts("%clang@:13")
+
+    conflicts("threads=openmp", when="%clang")
+
+    @property
+    def blas_headers(self):
+        return find_all_headers(self.spec.prefix.include)
+
+    @property
+    def blas_libs(self):
+        spec = self.spec
+
+        if "+ilp64" in spec:
+            int_type = "ilp64"
+        else:
+            int_type = "lp64"
+
+        if spec.satisfies("threads=openmp"):
+            threading_type = "gomp"
+        else:
+            # threads=none
+            threading_type = "seq"
+
+        name = ["libnvpl_blas_core", f"libnvpl_blas_{int_type}_{threading_type}"]
+
+        return find_libraries(name, spec.prefix.lib, shared=True, recursive=True)
+
+    def install(self, spec, prefix):
+        install_tree(".", prefix)

var/spack/repos/builtin/packages/nvpl-lapack/package.py

@@ -0,0 +1,69 @@
+# Copyright 2013-2024 Lawrence Livermore National Security, LLC and other
+# Spack Project Developers. See the top-level COPYRIGHT file for details.
+#
+# SPDX-License-Identifier: (Apache-2.0 OR MIT)
+
+from spack.package import *
+
+
+class NvplLapack(Package):
+    """
+    NVPL LAPACK (NVIDIA Performance Libraries LAPACK) is part of NVIDIA Performance Libraries
+    that provides standard Fortran 90 LAPACK APIs.
+    """
+
+    homepage = "https://docs.nvidia.com/nvpl/_static/lapack/index.html"
+    url = (
+        "https://developer.download.nvidia.com/compute/nvpl/redist"
+        "/nvpl_lapack/linux-sbsa/nvpl_lapack-linux-sbsa-0.2.0.1-archive.tar.xz"
+    )
+
+    maintainers("albestro", "rasolca")
+
+    license("UNKNOWN")
+
+    version("0.1.0", sha256="7054f775b18916ee662c94ad7682ace53debbe8ee36fa926000fe412961edb0b")
+
+    provides("lapack")
+
+    variant("ilp64", default=False, description="Force 64-bit Fortran native integers")
+    variant(
+        "threads",
+        default="none",
+        description="Multithreading support",
+        values=("openmp", "none"),
+        multi=False,
+    )
+
+    requires("target=armv8.2a:", msg="Any CPU with Arm-v8.2a+ microarch")
+
+    conflicts("%gcc@:7")
+    conflicts("%clang@:13")
+
+    conflicts("threads=openmp", when="%clang")
+
+    @property
+    def lapack_headers(self):
+        return find_all_headers(self.spec.prefix.include)
+
+    @property
+    def lapack_libs(self):
+        spec = self.spec
+
+        if "+ilp64" in spec:
+            int_type = "ilp64"
+        else:
+            int_type = "lp64"
+
+        if spec.satisfies("threads=openmp"):
+            threading_type = "gomp"
+        else:
+            # threads=none
+            threading_type = "seq"
+
+        name = ["libnvpl_lapack_core", f"libnvpl_lapack_{int_type}_{threading_type}"]
+
+        return find_libraries(name, spec.prefix.lib, shared=True, recursive=True)
+
+    def install(self, spec, prefix):
+        install_tree(".", prefix)