120 lines
4.8 KiB
Nix
120 lines
4.8 KiB
Nix
{ stdenv, fetchurl, gfortran, tolerateCpuTimingInaccuracy ? true, shared ? false
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, cpuConfig ? if stdenv.isi686 then "-b 32 -A 12 -V 1" else "-b 64 -A 14 -V 384"
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, cacheEdge ? "262144"
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, threads ? "0"
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, liblapack, withLapack
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}:
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# Atlas detects the CPU and optimizes its build accordingly. This is great when
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# the code is run on the same machine that built the binary, but in case of a
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# central build farm like Hydra, this feature is dangerous because the code may
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# be generated utilizing fancy features that users who download the binary
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# cannot execute.
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#
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# To avoid these issues, the build is configured using the 'cpuConfig'
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# parameter. Upstream recommends these defaults for distributions:
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#
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# | x86 CPU | x86_64 CPU |
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# |---------------------------------------------+------------------------|
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# | -b 32 | -b 64 |
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# | -A 12 (x86x87) | -A 14 (x86SSE2) |
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# | -V 1 (No SIMD) | -V 384 (SSE1 and SSE2) |
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#
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# These defaults should give consistent performance across machines.
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# Performance will be substantially lower than an optimized build, but a build
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# optimized for one machine will give even worse performance on others. If you
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# are a serious user of Atlas (e.g., you write code that uses it) you should
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# compile an optimized version for each of your machines.
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#
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# The parameter 'cacheEdge' sets the L2 cache per core (in bytes). Setting this
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# parameter reduces build time because some tests to detect the L2 cache size
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# will not be run. It will also reduce impurity; different build nodes on Hydra
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# may have different L2 cache sizes, but fixing the L2 cache size should
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# account for that. This also makes the performance of binary substitutes more
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# consistent.
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#
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# The -V flags can change with each release as new instruction sets are added
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# because upstream thinks it's a good idea to add entries at the start of an
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# enum, rather than the end. If the build suddenly fails with messages about
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# missing instruction sets, you may need to poke around in the source a bit.
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#
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# Upstream recommends the x86x87/x86SSE2 architectures for generic x86/x86_64
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# for distribution builds. Additionally, we set 'cacheEdge' to reduce impurity.
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# Otherwise, the cache parameters will be detected by timing which will be
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# highly variable on Hydra.
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let
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inherit (stdenv.lib) optional optionalString;
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version = "3.10.2";
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in
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stdenv.mkDerivation {
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name = "atlas${optionalString withLapack "-with-lapack"}-${version}";
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src = fetchurl {
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url = "mirror://sourceforge/math-atlas/atlas${version}.tar.bz2";
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sha256 = "0bqh4bdnjdyww4mcpg6kn0x7338mfqbdgysn97dzrwwb26di7ars";
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};
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buildInputs = [ gfortran ];
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# Atlas aborts the build if it detects that some kind of CPU frequency
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# scaling is active on the build machine because that feature offsets the
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# performance timings. We ignore that check, however, because with binaries
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# being pre-built on Hydra those timings aren't accurate for the local
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# machine in the first place.
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patches = optional tolerateCpuTimingInaccuracy ./disable-timing-accuracy-check.patch
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++ optional stdenv.isDarwin ./tmpdir.patch;
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hardeningDisable = [ "format" ];
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# Configure outside of the source directory.
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preConfigure = ''
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mkdir build
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cd build
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configureScript=../configure
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'';
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# * -t 0 disables use of multi-threading. It's not quite clear what the
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# consequences of that setting are and whether it's necessary or not.
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configureFlags = [
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"-t ${threads}"
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cpuConfig
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] ++ optional shared "--shared"
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++ optional withLapack "--with-netlib-lapack-tarfile=${liblapack.src}";
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postConfigure = ''
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if [[ -n "${cacheEdge}" ]]; then
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echo '#define CacheEdge ${cacheEdge}' >> include/atlas_cacheedge.h
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echo '#define CacheEdge ${cacheEdge}' >> include/atlas_tcacheedge.h
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fi
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'';
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doCheck = true;
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postInstall = ''
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# Avoid name collision with the real lapack (ATLAS only builds a partial
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# lapack unless withLapack = true).
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if ${if withLapack then "false" else "true"}; then
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mv $out/lib/liblapack.a $out/lib/liblapack_atlas.a
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fi
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'';
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meta = {
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homepage = "http://math-atlas.sourceforge.net/";
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description = "Automatically Tuned Linear Algebra Software (ATLAS)";
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license = stdenv.lib.licenses.bsd3;
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platforms = stdenv.lib.platforms.unix;
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longDescription = ''
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The ATLAS (Automatically Tuned Linear Algebra Software) project is an
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ongoing research effort focusing on applying empirical techniques in
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order to provide portable performance. At present, it provides C and
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Fortran77 interfaces to a portably efficient BLAS implementation, as well
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as a few routines from LAPACK.
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'';
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maintainers = with stdenv.lib.maintainers; [ ttuegel ];
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};
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}
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