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add short blurb about avx512 and needed compiler to README

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Arjan van de Ven 2018-08-11 17:21:46 +00:00
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README.md
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@ -110,6 +110,7 @@ Please read `GotoBLAS_01Readme.txt`.
- **Intel Xeon 56xx (Westmere)**: Used GotoBLAS2 Nehalem codes. - **Intel Xeon 56xx (Westmere)**: Used GotoBLAS2 Nehalem codes.
- **Intel Sandy Bridge**: Optimized Level-3 and Level-2 BLAS with AVX on x86-64. - **Intel Sandy Bridge**: Optimized Level-3 and Level-2 BLAS with AVX on x86-64.
- **Intel Haswell**: Optimized Level-3 and Level-2 BLAS with AVX2 and FMA on x86-64. - **Intel Haswell**: Optimized Level-3 and Level-2 BLAS with AVX2 and FMA on x86-64.
- **Intel Skylake**: Optimized Level-3 and Level-2 BLAS with AVX512 and FMA on x86-64.
- **AMD Bobcat**: Used GotoBLAS2 Barcelona codes. - **AMD Bobcat**: Used GotoBLAS2 Barcelona codes.
- **AMD Bulldozer**: x86-64 ?GEMM FMA4 kernels. (Thanks to Werner Saar) - **AMD Bulldozer**: x86-64 ?GEMM FMA4 kernels. (Thanks to Werner Saar)
- **AMD PILEDRIVER**: Uses Bulldozer codes with some optimizations. - **AMD PILEDRIVER**: Uses Bulldozer codes with some optimizations.
@ -200,6 +201,7 @@ Please see Changelog.txt to view the differences between OpenBLAS and GotoBLAS2
* Please use GCC version 4.6 and above to compile Sandy Bridge AVX kernels on Linux/MinGW/BSD. * 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. * 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. Clang 3.0 will generate the wrong AVX binary code.
* Please use GCC version 6 or LLVM version 6 and above to compile Skyalke AVX512 kernels.
* The number of CPUs/cores should less than or equal to 256. On Linux `x86_64` (`amd64`), * The number of CPUs/cores should 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 there is experimental support for up to 1024 CPUs/cores and 128 numa nodes if you build
the library with `BIGNUMA=1`. the library with `BIGNUMA=1`.