add DLA-Future package (#38224)

1 files changed, 135 insertions, 0 deletions

diff --git a/var/spack/repos/builtin/packages/dla-future/package.py b/var/spack/repos/builtin/packages/dla-future/package.py
new file mode 100644
index 0000000000..c08736e85f
--- /dev/null
+++ b/var/spack/repos/builtin/packages/dla-future/package.py
@@ -0,0 +1,135 @@
+# Copyright 2013-2023 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 DlaFuture(CMakePackage, CudaPackage, ROCmPackage):
+    """DLA-Future library: Distributed Linear Algebra with Future"""
+
+    homepage = "https://github.com/eth-cscs/DLA-Future"
+    url = "https://github.com/eth-cscs/DLA-Future/archive/v0.0.0.tar.gz"
+    git = "https://github.com/eth-cscs/DLA-Future.git"
+    maintainers = ["rasolca", "albestro", "msimberg", "aurianer"]
+
+    version("0.1.0", sha256="f7ffcde22edabb3dc24a624e2888f98829ee526da384cd752b2b271c731ca9b1")
+    version("master", branch="master")
+
+    variant("shared", default=True, description="Build shared libraries.")
+
+    variant("doc", default=False, description="Build documentation.")
+
+    variant("miniapps", default=False, description="Build miniapps.")
+
+    depends_on("cmake@3.22:", type="build")
+    depends_on("doxygen", type="build", when="+doc")
+    depends_on("mpi")
+    depends_on("blaspp@2022.05.00:")
+    depends_on("lapackpp@2022.05.00:")
+
+    depends_on("umpire~examples")
+    depends_on("umpire+cuda~shared", when="+cuda")
+    depends_on("umpire+rocm~shared", when="+rocm")
+    depends_on("umpire@4.1.0:")
+
+    depends_on("pika@0.15.1:")
+    depends_on("pika-algorithms@0.1:")
+    depends_on("pika +mpi")
+    depends_on("pika +cuda", when="+cuda")
+    depends_on("pika +rocm", when="+rocm")
+
+    conflicts("^pika cxxstd=20", when="+cuda")
+
+    depends_on("whip +cuda", when="+cuda")
+    depends_on("whip +rocm", when="+rocm")
+
+    depends_on("rocblas", when="+rocm")
+    depends_on("rocprim", when="+rocm")
+    depends_on("rocsolver", when="+rocm")
+    depends_on("rocthrust", when="+rocm")
+
+    conflicts("+cuda", when="+rocm")
+
+    with when("+rocm"):
+        for val in ROCmPackage.amdgpu_targets:
+            depends_on("pika amdgpu_target={0}".format(val), when="amdgpu_target={0}".format(val))
+            depends_on(
+                "rocsolver amdgpu_target={0}".format(val), when="amdgpu_target={0}".format(val)
+            )
+            depends_on(
+                "rocblas amdgpu_target={0}".format(val), when="amdgpu_target={0}".format(val)
+            )
+            depends_on(
+                "rocprim amdgpu_target={0}".format(val), when="amdgpu_target={0}".format(val)
+            )
+            depends_on(
+                "rocthrust amdgpu_target={0}".format(val), when="amdgpu_target={0}".format(val)
+            )
+            depends_on("whip amdgpu_target={0}".format(val), when="amdgpu_target={0}".format(val))
+            depends_on(
+                "umpire amdgpu_target={0}".format(val), when="amdgpu_target={0}".format(val)
+            )
+
+    with when("+cuda"):
+        for val in CudaPackage.cuda_arch_values:
+            depends_on("pika cuda_arch={0}".format(val), when="cuda_arch={0}".format(val))
+            depends_on("umpire cuda_arch={0}".format(val), when="cuda_arch={0}".format(val))
+
+    def cmake_args(self):
+        spec = self.spec
+        args = []
+
+        args.append(self.define_from_variant("BUILD_SHARED_LIBS", "shared"))
+
+        # BLAS/LAPACK
+        if "^mkl" in spec:
+            vmap = {
+                "none": "seq",
+                "openmp": "omp",
+                "tbb": "tbb",
+            }  # Map MKL variants to LAPACK target name
+            # TODO: Generalise for intel-oneapi-mkl
+            args += [
+                self.define("DLAF_WITH_MKL", True),
+                self.define(
+                    "MKL_LAPACK_TARGET",
+                    "mkl::mkl_intel_32bit_{0}_dyn".format(
+                        vmap[spec["intel-mkl"].variants["threads"].value]
+                    ),
+                ),
+            ]
+        else:
+            args.append(self.define("DLAF_WITH_MKL", False))
+            args.append(
+                self.define(
+                    "LAPACK_LIBRARY",
+                    " ".join([spec[dep].libs.ld_flags for dep in ["blas", "lapack"]]),
+                )
+            )
+
+        # CUDA/HIP
+        args.append(self.define_from_variant("DLAF_WITH_CUDA", "cuda"))
+        args.append(self.define_from_variant("DLAF_WITH_HIP", "rocm"))
+        if "+rocm" in spec:
+            archs = self.spec.variants["amdgpu_target"].value
+            if "none" not in archs:
+                arch_str = ";".join(archs)
+                args.append(self.define("CMAKE_HIP_ARCHITECTURES", arch_str))
+        if "+cuda" in spec:
+            archs = self.spec.variants["cuda_arch"].value
+            if "none" not in archs:
+                arch_str = ";".join(archs)
+                args.append(self.define("CMAKE_CUDA_ARCHITECTURES", arch_str))
+
+        # DOC
+        args.append(self.define_from_variant("DLAF_BUILD_DOC", "doc"))
+
+        # TEST
+        args.append(self.define("DLAF_BUILD_TESTING", self.run_tests))
+
+        # MINIAPPS
+        args.append(self.define_from_variant("DLAF_BUILD_MINIAPPS", "miniapps"))
+
+        return args