OpenMathLib/OpenBLAS
1
0
Fork 0
mirror of https://github.com/OpenMathLib/OpenBLAS synced 2026-05-31 00:45:48 +08:00
Code Issues Actions 1 Packages Projects Releases Wiki Activity

Add compiler version notes and mention the f2c fallback LAPACK

Browse Source
This commit is contained in:
Martin Kroeker
2024-11-22 12:10:56 +01:00
committed by GitHub
parent c520ed1916
commit 3a63bbabd1
1 changed files with 8 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
README.md
View File

@@ -47,9 +47,12 @@ Most options can also be given directly on the command line as parameters to you
Building OpenBLAS requires the following to be installed:
* GNU Make or CMake
* A C compiler, e.g. GCC or Clang
* A C compiler, e.g. GCC or Clang
* A Fortran compiler (optional, for LAPACK)
In general, using a recent version of the compiler is strongly recommended.
If a Fortran compiler is not available, it is possible to compile an older version of the included LAPACK
that has been machine-translated to C.
### Normal compile
@@ -339,7 +342,10 @@ Please see Changelog.txt.
* Please use GCC version 4.6 and above to compile Sandy Bridge AVX kernels on Linux/MinGW/BSD.
* Please use Clang version 3.1 and above to compile the library on Sandy Bridge microarchitecture.
Clang 3.0 will generate the wrong AVX binary code.
* Please use GCC version 6 or LLVM version 6 and above to compile Skylake AVX512 kernels.
* Please use GCC version 6 or LLVM version 6 and above to compile Skylake/CooperLake AVX512 kernels
* Please use LLVM version 18 and above (version 19 and above on Windows) if you plan to use
its new flang compiler for Fortran
* Please use GCC version 11 and above to compile OpenBLAS on the POWER architecture
* The number of CPUs/cores should be less than or equal to 256. On Linux `x86_64` (`amd64`),
there is experimental support for up to 1024 CPUs/cores and 128 numa nodes if you build
the library with `BIGNUMA=1`.