* Upgrade presets for MKL 2026.0.0, LLVM 22.1.7

Author: saudet

.github/actions/deploy-ubuntu/action.yml

@@ -252,8 +252,8 @@ runs:
 
         if [[ "$CI_DEPLOY_MODULE" == "mkl" ]]; then
           echo Installing MKL
-          curl -LO https://registrationcenter-download.intel.com/akdlm/IRC_NAS/6a17080f-f0de-41b9-b587-52f92512c59a/intel-onemkl-2025.3.1.11_offline.sh
-          $SUDO bash intel-onemkl-2025.3.1.11_offline.sh -s -a -s --eula accept
+          curl -LO https://registrationcenter-download.intel.com/akdlm/IRC_NAS/db60f483-f02e-4f7e-9bcd-5e01dba97444/intel-onemkl-2026.0.0.909_offline.sh
+          $SUDO bash intel-onemkl-2026.0.0.909_offline.sh -s -a -s --eula accept
           export MAVEN_OPTIONS="-Djavacpp.platform.compiler=clang++"
         fi
 

.github/actions/deploy-windows/action.yml

@@ -194,8 +194,8 @@ runs:
 
         if "%CI_DEPLOY_MODULE%"=="mkl" (
           echo Installing MKL
-          curl -LO https://registrationcenter-download.intel.com/akdlm/IRC_NAS/ae472ff5-aa01-4a72-a452-ce7b559ef041/intel-onemkl-2025.3.1.10_offline.exe
-          intel-onemkl-2025.3.1.10_offline.exe -s -a -s --eula accept
+          curl -LO https://registrationcenter-download.intel.com/akdlm/IRC_NAS/90d3404b-65cf-426d-8484-71e129454dba/intel-onemkl-2026.0.0.907_offline.exe
+          intel-onemkl-2026.0.0.907_offline.exe -s -a -s --eula accept
         )
 
         if "%CI_DEPLOY_PLATFORM%"=="windows-x86" if "%CI_DEPLOY_MODULE%"=="flycapture" (

.github/workflows/llvm.yml

@@ -22,7 +22,7 @@ jobs:
 #    steps:
 #      - uses: bytedeco/javacpp-presets/.github/actions/deploy-ubuntu@actions
   linux-arm64:
-    runs-on: ubuntu-22.04
+    runs-on: ubuntu-22.04-arm
     steps:
       - uses: bytedeco/javacpp-presets/.github/actions/deploy-ubuntu@actions
 #  linux-ppc64le:
@@ -38,7 +38,7 @@ jobs:
     steps:
       - uses: bytedeco/javacpp-presets/.github/actions/deploy-ubuntu@actions
   macosx-arm64:
-    runs-on: macos-15-intel
+    runs-on: macos-15
     steps:
       - uses: bytedeco/javacpp-presets/.github/actions/deploy-macosx@actions
   macosx-x86_64:

CHANGELOG.md

@@ -8,7 +8,7 @@
  * Add new `SampleOnnxMNIST` in samples for TensorRT ([pull #1742](https://github.com/bytedeco/javacpp-presets/pull/1742))
  * Fix loading issues with `libomp.dylib` and `libiomp5.dylib` for DNNL and PyTorch on Mac
  * Include `model_package_loader.h` header file in presets for PyTorch ([issue #1729](https://github.com/bytedeco/javacpp-presets/issues/1729))
- * Upgrade presets for FFmpeg 8.1.1, DNNL 3.12.1, OpenBLAS 0.3.33, CUDA 13.2.1, cuDNN 9.21.1.3, NCCL 2.30.4, nvCOMP 5.2.0.10, OpenCL 3.1.1, FFTW 3.3.11, CPython 3.14.5, NumPy 2.4.6, SciPy 1.17.1, LLVM 22.1.1, PyTorch 2.12.0, TensorFlow Lite 2.21.0, TensorRT 10.16.1.11, Triton Inference Server 2.68.0, ONNX 1.21.0, ONNX Runtime 1.26.0 ([pull #1753](https://github.com/bytedeco/javacpp-presets/pull/1753)), and their dependencies
+ * Upgrade presets for FFmpeg 8.1.1, MKL 2026.0.0, DNNL 3.12.1, OpenBLAS 0.3.33, CUDA 13.2.1, cuDNN 9.21.1.3, NCCL 2.30.4, nvCOMP 5.2.0.10, OpenCL 3.1.1, FFTW 3.3.11, CPython 3.14.5, NumPy 2.4.6, SciPy 1.17.1, LLVM 22.1.7, PyTorch 2.12.0, TensorFlow Lite 2.21.0, TensorRT 10.16.1.11, Triton Inference Server 2.68.0, ONNX 1.21.0, ONNX Runtime 1.26.0 ([pull #1753](https://github.com/bytedeco/javacpp-presets/pull/1753)), and their dependencies
  * Compile classes with `parameters` bumping minimum requirements to Java SE 8 and Android 7.0 ([issue #1739](https://github.com/bytedeco/javacpp-presets/issues/1739))
 
 ### February 22, 2026 version 1.5.13

README.md

@@ -198,7 +198,7 @@ Each child module in turn relies by default on the included [`cppbuild.sh` scrip
  * HDF5 1.14.x  https://www.hdfgroup.org/downloads/
  * Hyperscan 5.4.x  https://github.com/intel/hyperscan
  * LZ4 1.9.x  https://github.com/lz4/lz4
- * MKL 2025.3.x  https://software.intel.com/mkl
+ * MKL 2026.0.x  https://software.intel.com/mkl
  * MKL-DNN 0.21.x  https://github.com/oneapi-src/oneDNN
  * DNNL 3.12.x  https://github.com/oneapi-src/oneDNN
  * OpenBLAS 0.3.33  http://www.openblas.net/

gsl/README.md

@@ -38,22 +38,22 @@ We can use [Maven 3](http://maven.apache.org/) to download and install automatic
     <modelVersion>4.0.0</modelVersion>
     <groupId>org.bytedeco.gsl</groupId>
     <artifactId>demo</artifactId>
-    <version>1.5.13</version>
+    <version>1.5.14-SNAPSHOT</version>
     <properties>
         <exec.mainClass>Demo</exec.mainClass>
     </properties>
     <dependencies>
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>gsl-platform</artifactId>
-            <version>2.8-1.5.13</version>
+            <version>2.8-1.5.14-SNAPSHOT</version>
         </dependency>
 
         <!-- Additional dependencies to use bundled full version of MKL -->
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>mkl-platform-redist</artifactId>
-            <version>2025.3-1.5.13</version>
+            <version>2026.0-1.5.14-SNAPSHOT</version>
         </dependency>
 
     </dependencies>

gsl/samples/pom.xml

@@ -19,7 +19,7 @@
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>mkl-platform-redist</artifactId>
-            <version>2025.3-1.5.14-SNAPSHOT</version>
+            <version>2026.0-1.5.14-SNAPSHOT</version>
         </dependency>
 
     </dependencies>

llvm/README.md

@@ -9,7 +9,7 @@ Introduction
 ------------
 This directory contains the JavaCPP Presets module for:
 
- * LLVM 22.1.1  http://llvm.org/
+ * LLVM 22.1.7  http://llvm.org/
 
 Please refer to the parent README.md file for more detailed information about the JavaCPP Presets.
 
@@ -50,7 +50,7 @@ We can use [Maven 3](http://maven.apache.org/) to download and install automatic
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>llvm-platform</artifactId>
-            <version>22.1.1-1.5.14-SNAPSHOT</version>
+            <version>22.1.7-1.5.14-SNAPSHOT</version>
         </dependency>
     </dependencies>
     <build>

llvm/cppbuild.sh

@@ -7,7 +7,7 @@ if [[ -z "$PLATFORM" ]]; then
     exit
 fi
 
-LLVM_VERSION=22.1.1
+LLVM_VERSION=22.1.7
 download https://github.com/llvm/llvm-project/releases/download/llvmorg-$LLVM_VERSION/llvm-project-$LLVM_VERSION.src.tar.xz llvm-project-$LLVM_VERSION.src.tar.xz
 
 mkdir -p $PLATFORM
@@ -23,7 +23,7 @@ sedinplace 's/if (NOT Python3_EXECUTABLE/if (TRUE/g' clang/lib/Tooling/CMakeList
 mkdir -p build
 cd build
 
-PROJECTS="clang;lld;polly"
+PROJECTS="clang;lld;polly;mlir"
 
 TBLGEN_BUILD="${BUILD_DIR:-$(pwd)}/../tblgen"
 LLVM_BUILD="${BUILD_DIR:-$(pwd)}"

llvm/platform/pom.xml

@@ -12,7 +12,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>llvm-platform</artifactId>
-  <version>22.1.1-${project.parent.version}</version>
+  <version>22.1.7-${project.parent.version}</version>
   <name>JavaCPP Presets Platform for LLVM</name>
 
   <properties>