541ccd6669
* What's new in AOCL 3.1
1) AMD BLIS:
1.a) Supports Dynamic Dispatch and AOCL Dynamic feature
1.b) Improvements in DGEMM, ZGEMM, DTRSM, DSYRK, xGEMV, and DOTV
2) AMD libFLAME:
2.a) Supports LAPACK 3.10.0 specification
2.b) Optimized factorization and ZGEEV routines
3) AMD FFTW:
3.a) Features like 'AMD application optimization layer', 'Fast MPI transpose algorithm' and 'Top N planner' are added
4) AMD LibM:
4.a) Optimized exp2, log2 (Single and Double precision) scalar and vector
4.b) Optimized log10f (scalar and vector) and powf vector variants to support WRF4.1.2 benchmark
5) AOCL-Sparse:
5.a) New API for sparse matrix and dense matrix multiplication
6) AMD ScaLAPACK:
6.a) ILP64 support has been enabled
7) AOCL enabled MUMPS library:
7.a) CMake based build system on Windows for AOCL enabled MUMPS sparse solver library will be available shortly on GitHub
7.a.i) Refer https://github.com/amd/mumps-build
7.b) Spack-based recipe on Linux for AOCL enabled MUMPS sparse solver library will be enabled shortly
* Fix invalid version range error
* Incorporated review comments
1) Restore to previous url value
2) Instead of if else statements, used spack's enable_or_disable feature
* Incorporated following review comments:
1. Use of satisfies() for spec checks
2. Seperate conflict statements to check for minimum and maximum GCC versions
3. Used CMakePackage helpers
4. Code rearrangement to have the directives listed before methods
84 lines
2.9 KiB
Python
84 lines
2.9 KiB
Python
# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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import os
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from spack import *
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class Amdlibm(SConsPackage):
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"""AMD LibM is a software library containing a collection of basic math
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functions optimized for x86-64 processor-based machines. It provides
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many routines from the list of standard C99 math functions.
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Applications can link into AMD LibM library and invoke math functions
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instead of compiler's math functions for better accuracy and
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performance."""
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homepage = "https://developer.amd.com/amd-aocl/amd-math-library-libm/"
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git = "https://github.com/amd/aocl-libm-ose.git"
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maintainers = ["amd-toolchain-support"]
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# If a user who doesn't specify a version
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# amdlibm installed for commit ID:4033e02
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# of master branch.
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# To install amdlibm from latest master branch:
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# spack install amdlibm ^amdlibm@master
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version("3.1", branch="aocl-3.1")
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version("3.0", branch="aocl-3.0")
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version("2.2", commit="4033e022da428125747e118ccd6fdd9cee21c470")
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variant("verbose", default=False,
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description="Building with verbosity")
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# Mandatory dependencies
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depends_on("python@3.6.2", when="%aocc@3.2.0:", type=("build", "run"))
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depends_on("python@3.6.1:", type=("build", "run"))
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depends_on("scons@3.1.2:", type=("build"))
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depends_on("mpfr", type=("link"))
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patch("0001-libm-ose-Scripts-cleanup-pyc-files.patch", when="@2.2")
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patch("0002-libm-ose-prevent-log-v3.c-from-building.patch", when="@2.2")
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conflicts(
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'%gcc@:9.1.0',
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msg='Minimum required GCC version is 9.2.0')
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conflicts(
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'%gcc@11.2.0:',
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msg='Maximum required GCC version is 11.1.0')
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conflicts(
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'%aocc@3.2.0',
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when='@2.2:3.0',
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msg='amdlibm 2.2 and 3.0 versions are not supported with AOCC 3.2.0')
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def build_args(self, spec, prefix):
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"""Setting build arguments for amdlibm """
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args = ["--prefix={0}".format(prefix)]
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# we are circumventing the use of
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# Spacks compiler wrappers because
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# SCons wipes out all environment variables.
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if spec.satisfies("@:3.0 %aocc"):
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args.append("--compiler=aocc")
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var_prefix = '' if spec.satisfies("@:3.0") else 'ALM_'
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args.append("{0}CC={1}".format(var_prefix, self.compiler.cc))
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args.append("{0}CXX={1}".format(var_prefix, self.compiler.cxx))
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if "+verbose" in spec:
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args.append("--verbose=1")
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else:
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args.append("--verbose=0")
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return args
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install_args = build_args
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@run_after('install')
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def create_symlink(self):
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"""Symbolic link for backward compatibility"""
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with working_dir(self.prefix.lib):
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os.symlink('libalm.a', 'libamdlibm.a')
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os.symlink('libalm.so', 'libamdlibm.so')
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