feat: Improve intel MKL shared library build process using docker

build/Packaging.fs

@@ -79,7 +79,7 @@ let zip (package:ZipPackage) header zipDir filesDir filesFilter =
 
 
 let private updateNuspec (nuget:NuGetPackage) outPath dependencies (spec:NuGet.NuGet.NuGetParams) =
-    { spec with ToolPath = "packages/build/NuGet.CommandLine/tools/NuGet.exe"
+    { spec with ToolPath = Path.getFullName"packages/build/NuGet.CommandLine/tools/NuGet.exe"
                 OutputPath = outPath
                 WorkingDir = "obj/NuGet"
                 Version = nuget.Release.PackageVersion

src/NativeProviders/Linux/Dockerfile

@@ -0,0 +1,46 @@
+FROM ubuntu:24.04
+
+ENV DEBIAN_FRONTEND=noninteractive
+ENV VERSION=2024.0
+ENV INTEL=/opt/intel
+ENV MKL=$INTEL/mkl/$VERSION
+ENV OPENMP=$INTEL/compiler/$VERSION
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    wget \
+    curl \
+    g++ \
+    g++-multilib \
+    libc6-dev-i386 \
+    ca-certificates \
+    gnupg \
+    lsb-release \
+    software-properties-common \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install Intel MKL using offline installer as it is not available in the apt repository
+RUN mkdir -p /tmp/mkl \
+    && cd /tmp/mkl \
+    && wget https://registrationcenter-download.intel.com/akdlm/IRC_NAS/86d6a4c1-c998-4c6b-9fff-ca004e9f7455/l_onemkl_p_2024.0.0.49673.sh \
+    && chmod +x l_onemkl_p_2024.0.0.49673.sh \
+    && mkdir -p /opt/intel \
+    && ./l_onemkl_p_2024.0.0.49673.sh -a -s --eula accept --install-dir /opt/intel \
+    && rm -rf /tmp/mkl
+
+# Set up environment variables for MKL
+ENV LD_LIBRARY_PATH=""
+ENV CPATH=""
+ENV LIBRARY_PATH=""
+ENV LD_LIBRARY_PATH=$MKL/lib/intel64:$OPENMP/lib:$LD_LIBRARY_PATH
+ENV CPATH=$MKL/include:$CPATH
+ENV LIBRARY_PATH=$MKL/lib/intel64:$OPENMP/lib:$LIBRARY_PATH
+
+WORKDIR /workspace
+
+# Copy project files
+COPY . .
+
+RUN chmod +x src/NativeProviders/Linux/mkl_build.sh
+
+CMD ["sh", "-c", "cd src/NativeProviders/Linux && ./mkl_build.sh"]

src/NativeProviders/Linux/README.md

@@ -0,0 +1,40 @@
+# Build Native Libraries for MathNet.Numerics MKL for Linux
+
+### Option 1: Manual Installation
+
+**Install MKL**
+
+There are many options. At time of writing this is a good source:
+https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl-download.html
+
+**Install g++**
+
+```bash
+sudo apt-get install g++ g++-multilib libc6-dev-i386
+```
+
+**Build**
+
+```bash
+./mkl_build.sh
+```
+
+**Note:** You may have to update MKL's version number inside the script. See `VERSION` environment variable.
+
+### Option 2: Docker
+
+**Build the native libraries**
+
+Run following commands from the project root.
+
+```bash
+docker build -f src/NativeProviders/Linux/Dockerfile -t mathnet-mkl-builder .
+docker run --rm -v $(pwd)/out:/workspace/out mathnet-mkl-builder
+```
+
+## Output
+
+The build creates native libraries in:
+- `out/MKL/Linux/x64/libMathNetNumericsMKL.so` (64-bit)
+- `out/MKL/Linux/x86/libMathNetNumericsMKL.so` (32-bit)
+- Plus OpenMP runtime libraries (`libiomp5.so`)

src/NativeProviders/Linux/mkl_build.sh

@@ -1,17 +1,18 @@
-Note: g++ multilib must be installed
-export VERSION=2023.1.0
+#!/bin/sh
+
+export VERSION=2024.0
 export INTEL=/opt/intel
-export MKL=$INTEL/oneapi/mkl/$VERSION
-export OPENMP=$INTEL/oneapi/compiler/$VERSION/linux/compiler/lib
+export MKL=$INTEL/mkl/$VERSION
+export OPENMP=$INTEL/compiler/$VERSION
 export OUT=../../../out/MKL/Linux
 
 mkdir -p $OUT/x64
 mkdir -p $OUT/x86
 
-g++ -std=c++11 -D_M_X64 -DGCC -m64 --shared -fPIC -o $OUT/x64/libMathNetNumericsMKL.so -I$MKL/include -I../Common -I../MKL ../MKL/memory.c ../MKL/capabilities.cpp ../MKL/vector_functions.c ../Common/blas.c ../Common/lapack.cpp ../MKL/fft.cpp -Wl,--start-group  $MKL/lib/intel64/libmkl_intel_lp64.a $MKL/lib/intel64/libmkl_intel_thread.a $MKL/lib/intel64/libmkl_core.a -Wl,--end-group -L$OPENMP/intel64_lin -liomp5 -lpthread -lm
+g++ -std=c++11 -D_M_X64 -DGCC -m64 --shared -fPIC -o $OUT/x64/libMathNetNumericsMKL.so -I$MKL/include -I../Common -I../MKL ../MKL/memory.c ../MKL/capabilities.cpp ../MKL/vector_functions.c ../Common/blas.c ../Common/lapack.cpp ../MKL/fft.cpp -Wl,--start-group  $MKL/lib/intel64/libmkl_intel_lp64.a $MKL/lib/intel64/libmkl_intel_thread.a $MKL/lib/intel64/libmkl_core.a -Wl,--end-group -L$OPENMP/lib -liomp5 -lpthread -lm
 
-cp $OPENMP/intel64_lin/libiomp5.so  $OUT/x64/
+cp $OPENMP/lib/libiomp5.so  $OUT/x64/
 
-g++ -std=c++11 -D_M_IX86 -DGCC -m32 --shared -fPIC -o $OUT/x86/libMathNetNumericsMKL.so -I$MKL/include -I../Common -I../MKL ../MKL/memory.c ../MKL/capabilities.cpp ../MKL/vector_functions.c ../Common/blas.c ../Common/lapack.cpp ../MKL/fft.cpp  -Wl,--start-group $MKL/lib/ia32/libmkl_intel.a $MKL/lib/ia32/libmkl_intel_thread.a $MKL/lib/ia32/libmkl_core.a -Wl,--end-group -L$OPENMP/ia32_lin -liomp5 -lpthread -lm
+g++ -std=c++11 -D_M_IX86 -DGCC -m32 --shared -fPIC -o $OUT/x86/libMathNetNumericsMKL.so -I$MKL/include -I../Common -I../MKL ../MKL/memory.c ../MKL/capabilities.cpp ../MKL/vector_functions.c ../Common/blas.c ../Common/lapack.cpp ../MKL/fft.cpp  -Wl,--start-group $MKL/lib/ia32/libmkl_intel.a $MKL/lib/ia32/libmkl_intel_thread.a $MKL/lib/ia32/libmkl_core.a -Wl,--end-group -L$OPENMP/lib32 -liomp5 -lpthread -lm
 
-cp $OPENMP/ia32_lin/libiomp5.so  $OUT/x86/
+cp $OPENMP/lib32/libiomp5.so  $OUT/x86/