* [gentoo-commits] proj/sci:master commit in: licenses/, profiles/, docs/proj/
@ 2017-09-02 11:39 David Seifert
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From: David Seifert @ 2017-09-02 11:39 UTC (permalink / raw
To: gentoo-commits
commit: 26026cc4488be016748d6fead1ffaa47204f0984
Author: David Seifert <soap <AT> gentoo <DOT> org>
AuthorDate: Sat Sep 2 11:38:48 2017 +0000
Commit: David Seifert <soap <AT> gentoo <DOT> org>
CommitDate: Sat Sep 2 11:38:48 2017 +0000
URL: https://gitweb.gentoo.org/proj/sci.git/commit/?id=26026cc4
profiles: Remove last mentions of sci-libs/acml
docs/proj/blas-lapack.xml | 16 --
docs/proj/linalg.xml | 19 --
licenses/ACML-EULA | 428 ----------------------------------------------
profiles/license_groups | 2 +-
profiles/use.local.desc | 6 -
5 files changed, 1 insertion(+), 470 deletions(-)
diff --git a/docs/proj/blas-lapack.xml b/docs/proj/blas-lapack.xml
index 8c94990ab..f4ef31cee 100644
--- a/docs/proj/blas-lapack.xml
+++ b/docs/proj/blas-lapack.xml
@@ -138,12 +138,6 @@ tree:
routines. Claims to be the fastest BLAS.
</li>
<li>
- <uri link="http://developer.amd.com/acml.jsp">ACML</uri>: AMD Core Math
- Library is a closed-source but free package containing BLAS (FORTRAN 77
- only) and LAPACK for x86 and amd64 architectures, but also other math tools
- such as statistical libraries and FFTs.
- </li>
- <li>
<uri link="http://developer.intel.com/software/products/mkl/">MKL</uri>:
Intel® Math Kernel Library is a closed-source but free package for
non-commercial use containing BLAS (FORTRAN 77 and C), LAPACK optimized for
@@ -238,8 +232,6 @@ profile combinations that have been used successfully in the past:
</li>
<li> AMD based CPUs:
<ul>
- <li>blas,lapack: acml-gfortran (or acml-gfortran-openmp with
- multi-processors) </li>
<li>cblas: reference</li>
</ul>
</li>
@@ -292,8 +284,6 @@ compatible. For example:
</p>
<pre caption="Incompatible combinations">
-# <i>F77=ifort FFLAGS="-O2 -mp" USE="openmp" emerge =acml-3.6.0-r1</i>
-# <i>eselect blas set acml-ifort-openmp</i>
# <i>F77=gfortran FFLAGS="-O2" emerge lapack-reference</i>
</pre>
@@ -410,12 +400,6 @@ virtuals:
<th>virtual/lapack</th>
</tr>
<tr>
- <ti><c>sci-libs/acml</c></ti>
- <ti>*</ti>
- <ti></ti>
- <ti>*</ti>
-</tr>
-<tr>
<ti><c>sci-libs/blas-atlas</c></ti>
<ti>*</ti>
<ti>*</ti>
diff --git a/docs/proj/linalg.xml b/docs/proj/linalg.xml
index 0da83057b..02ce98bf4 100644
--- a/docs/proj/linalg.xml
+++ b/docs/proj/linalg.xml
@@ -151,12 +151,6 @@ However, if:
and C BLAS routines. Still claims to be the fastest BLAS.
</li>
<li>
- <uri link="http://developer.amd.com/cpu/libraries/acml/Pages/default.aspx">ACML</uri>:
- AMD Core Math Library is a closed-source but free package containing BLAS (FORTRAN 77
- only) and LAPACK for x86 and x86_64 architectures, but also other math tools
- such as statistical libraries and FFTs.
- </li>
- <li>
<uri link="http://software.intel.com/en-us/articles/intel-mkl/">MKL</uri>:
Intel® Math Kernel Library is a closed-source but free package for
non-commercial use on Linux systems containing implementations of all the linear
@@ -256,8 +250,6 @@ Installed CBLAS for library directory lib64
</li>
<li> performant on AMD based CPUs:
<ul>
- <li>blas, lapack: acml-gfortran (or acml-gfortran-openmp with
- multi-processors) </li>
<li>cblas: reference</li>
</ul>
</li>
@@ -310,8 +302,6 @@ Installed CBLAS for library directory lib64
</p>
<pre caption="Looking for trouble combinations">
-# <i>USE=ifort emerge acml</i>
-# <i>eselect blas set acml-ifort-openmp</i>
# <i>FC=gfortran FFLAGS="-O2" emerge lapack-reference</i>
</pre>
@@ -453,15 +443,6 @@ Installed CBLAS for library directory lib64
<th>virtual/scalapack</th>
</tr>
<tr>
- <ti><c>sci-libs/acml</c></ti>
- <ti>*</ti>
- <ti></ti>
- <ti>*</ti>
- <ti></ti>
- <ti></ti>
- <ti></ti>
-</tr>
-<tr>
<ti><c>sci-libs/atlas</c></ti>
<ti>*</ti>
<ti>*</ti>
diff --git a/licenses/ACML-EULA b/licenses/ACML-EULA
deleted file mode 100644
index 870f574b6..000000000
--- a/licenses/ACML-EULA
+++ /dev/null
@@ -1,428 +0,0 @@
-LICENSE AGREEMENT
-(AMD CORE MATH LIBRARY)
-
-IMPORTANT—READ CAREFULLY: This is a legal agreement (“Agreement”) between you (“Licensee”) and
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-Script Files, as listed in Schedule A, and updates thereto (collectively, “Licensed Materials”), are subject to the
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diff --git a/profiles/license_groups b/profiles/license_groups
index d41f4584e..c23a2a105 100644
--- a/profiles/license_groups
+++ b/profiles/license_groups
@@ -1,2 +1,2 @@
-EULA ACML-EULA AMD-APPSDK NVIDIA-gdk NVIDIA-CUDA OpenSIFT
+EULA AMD-APPSDK NVIDIA-gdk NVIDIA-CUDA OpenSIFT
MISC-FREE CeCILL-B
diff --git a/profiles/use.local.desc b/profiles/use.local.desc
index 6d7dd0143..565f542eb 100644
--- a/profiles/use.local.desc
+++ b/profiles/use.local.desc
@@ -29,7 +29,6 @@ dev-lang/path64:assembler - Build PathAS assembler
dev-lang/path64:debugger - Build PathDB debugger
dev-lang/path64:native - Use EKOPath/Path64 for bootstraping
dev-lang/path64:valgrind - Support compiler debugging with dev-util/valgrind
-dev-lang/pgi:acml - Install AMD's core math library.
dev-lang/pgi:cuda - Install PGI's CUDA components (e.g. for OpenACC)
dev-lang/pgi:java - Install a PGI-tuned JRE.
dev-libs/intel-common:compiler - Install the libraries needed for the icc and ifort compilers
@@ -121,11 +120,6 @@ sci-electronics/player:festival - Automatically generated description for festiv
sci-electronics/player:openssl - Automatically generated description for openssl
sci-electronics/player:sphinx2 - Automatically generated description for sphinx2
sci-geosciences/qgis:grass - Add support for sci-geosciences/grass
-sci-libs/acml:gfortran - Fetch and install acml compiled with GNU FORTRAN compiler
-sci-libs/acml:ifort - Fetch and install acml compiled with the Intel FORTRAN compiler
-sci-libs/acml:int64 - Install the 64 bits integer library
-sci-libs/acml:open64 - Fetch and install acml compiled with the Open64 FORTRAN Compiler
-sci-libs/acml:pgi - Fetch and install acml compiled with the Portland Group FORTRAN compiler
sci-libs/armadillo:arpack - Link with sci-libs/arpack libraries for eigen decomposition
sci-libs/armadillo:atlas - Link with sci-libs/atlas libraries for cblas and clapack
sci-libs/armadillo:mkl - Use matrix allocation from the Intel MKL sci-libs/mkl
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