# 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 Spla(CMakePackage): """Specialized Parallel Linear Algebra, providing distributed GEMM functionality for specific matrix distributions with optional GPU acceleration.""" homepage = "https://github.com/eth-cscs/spla" url = "https://github.com/eth-cscs/spla/archive/v1.0.0.tar.gz" git = "https://github.com/eth-cscs/spla.git" maintainers("AdhocMan", "haampie") license("BSD-3-Clause") version("1.5.5", sha256="bc0c366e228344b1b2df55b9ce750d73c1165380e512da5a04d471db126d66ce") version("1.5.4", sha256="de30e427d24c741e2e4fcae3d7668162056ac2574afed6522c0bb49d6f1d0f79") version("1.5.3", sha256="527c06e316ce46ec87309a16bfa4138b1abad23fd276fe789c78a2de84f05637") version("1.5.2", sha256="344c34986dfae182ec2e1eb539c9a57f75683aaa7a61a024fd0c594d81d97016") version("1.5.1", sha256="2021a30b7cbb10bd660e5d94e1cc7bc6a428c87ea507e09d1e57e455685da421") version("1.5.0", sha256="bea782d46ce615e1c40efc2bfb19d95e3b59f332fc9ca83ac7e6684b8ac2dd93") version("1.4.0", sha256="364a9fe759fddec8a0839cf79f1cf0619fc36f4d4c15f1c2b1f437249d7840c6") version("1.3.0", sha256="ff05a22bd655607ff941f3228ac8605a813e1eec6eaa49fbcf7b58a3a4cf5f00") version("1.2.1", sha256="4d7237f752dc6257778c84ee19c9635072b1cb8ce8d9ab6e34a047f63a736b29") version("1.2.0", sha256="96ddd13c155ef3d7e40f87a982cdb439cf9e720523e66b6d20125d346ffe8fca") version("1.1.1", sha256="907c374d9c53b21b9f67ce648e7b2b09c320db234a1013d3f05919cd93c95a4b") version("1.1.0", sha256="b0c4ebe4988abc2b3434e6c50e7eb0612f3f401bc1aa79ad58a6a92dc87fa65b") version("1.0.0", sha256="a0eb269b84d7525b223dc650de12170bba30fbb3ae4f93eb2b5cbdce335e4da1") version("develop", branch="develop") version("master", branch="master") variant("openmp", default=True, description="Build with OpenMP support") variant("static", default=False, description="Build as static library") variant("cuda", default=False, description="CUDA backend") variant("rocm", default=False, description="ROCm backend") variant("fortran", default=False, description="Build fortran module") conflicts("+cuda", when="+rocm", msg="+cuda and +rocm are mutually exclusive") conflicts( "%gcc@13.0:", when="@1.5.0:1.5.4", msg="Version 1.5.0 to 1.5.4 is not compatible with GCC 13 and later.", ) depends_on("mpi") depends_on("blas") depends_on("cmake@3.10:", type="build") depends_on("cuda", when="+cuda") depends_on("rocblas", when="+rocm") depends_on("hip", when="+rocm") # Propagate openmp to blas depends_on("openblas threads=openmp", when="+openmp ^openblas") depends_on("amdblis threads=openmp", when="+openmp ^amdblis") depends_on("blis threads=openmp", when="+openmp ^blis") depends_on("intel-mkl threads=openmp", when="+openmp ^intel-mkl") # Fix CMake find module for AMD BLIS, # which uses a different library name for the multi-threaded version patch("0001-amd_blis.patch", when="@1.3.0:1.4.0 ^amdblis") def cmake_args(self): args = [ self.define_from_variant("SPLA_OMP", "openmp"), self.define_from_variant("SPLA_FORTRAN", "fortran"), self.define_from_variant("SPLA_STATIC", "static"), ] if "+cuda" in self.spec: args += ["-DSPLA_GPU_BACKEND=CUDA"] elif "+rocm" in self.spec: args += ["-DSPLA_GPU_BACKEND=ROCM"] else: args += ["-DSPLA_GPU_BACKEND=OFF"] if self.spec["blas"].name == "openblas": args += ["-DSPLA_HOST_BLAS=OPENBLAS"] elif self.spec["blas"].name in ["amdblis", "blis"]: args += ["-DSPLA_HOST_BLAS=BLIS"] elif self.spec["blas"].name == "atlas": args += ["-DSPLA_HOST_BLAS=ATLAS"] elif self.spec["blas"].name == "intel-mkl": args += ["-DSPLA_HOST_BLAS=MKL"] elif self.spec["blas"].name == "netlib-lapack": args += ["-DSPLA_HOST_BLAS=GENERIC"] elif self.spec["blas"].name == "cray-libsci": args += ["-DSPLA_HOST_BLAS=CRAY_LIBSCI"] return args