Merge pull request #171 from IntelPython/drop-tbb-threading

Use OpenMP for threading instead of TBB

Author: ndgrigorian

.github/workflows/build-with-clang.yml

@@ -40,7 +40,6 @@ jobs:
       - name: Install Intel OneAPI
         run: |
           sudo apt-get install intel-oneapi-compiler-dpcpp-cpp
-          sudo apt-get install intel-oneapi-tbb
           sudo apt-get install intel-oneapi-mkl-devel
 
       - name: Setup Python

.github/workflows/build_pip.yaml

@@ -42,7 +42,7 @@ jobs:
 
       - name: Install Compiler and MKL
         run: |
-          conda install mkl-devel tbb-devel dpcpp_linux-64
+          conda install mkl-devel dpcpp_linux-64
           python -c "import sys; print(sys.executable)"
           which python
 

AGENTS.md

@@ -21,13 +21,12 @@ It provides:
 **Required:**
 - Compiler toolchain: Intel `icx` or `clang` (with Intel-only flags gated when using clang)
 - Intel® OneMKL (mkl-devel)
-- Intel® TBB (tbb-devel)
 - NumPy, Cython, scikit-build, cmake, ninja
 
 **Conda environment:**
 ```bash
 conda install -c https://software.repos.intel.com/python/conda \
-  mkl-devel tbb-devel dpcpp_linux-64 numpy-base \
+  mkl-devel dpcpp_linux-64 numpy-base \
   cmake ninja cython scikit-build
 export MKLROOT=$CONDA_PREFIX
 CC=${CC:-icx} pip install --no-build-isolation --no-deps .  # clang is also supported in CI

CMakeLists.txt

@@ -23,10 +23,9 @@ cmake_print_variables(Python_NumPy_INCLUDE_DIRS)
 set(CYTHON_FLAGS "-t -w \"${CMAKE_SOURCE_DIR}\"")
 find_package(Cython REQUIRED)
 
-find_package(TBB REQUIRED)
 set(MKL_ARCH "intel64")
 set(MKL_LINK "dynamic")
-set(MKL_THREADING "tbb_thread")
+set(MKL_THREADING "intel_thread")
 set(MKL_INTERFACE "lp64")
 find_package(MKL REQUIRED)
 

README.md

@@ -47,7 +47,6 @@ If these are installed as part of a `oneAPI` installation, the following package
 
 If build dependencies are to be installed with Conda, the following packages must be installed from the Intel(R) channel
 - `mkl-devel`
-- `tbb-devel`
 - `dpcpp_linux-64` (or `dpcpp_win-64` for Windows)
 - `numpy-base`
 
@@ -57,7 +56,7 @@ then the remaining dependencies
 - `cython`
 - `scikit-build`
 
-and for `mkl-devel`, `tbb-devel` and `dpcpp_linux-64` in a Conda environment, `MKLROOT` environment variable must be set
+and for `mkl-devel` and `dpcpp_linux-64` in a Conda environment, `MKLROOT` environment variable must be set
 On Linux
 ```sh
 export MKLROOT=$CONDA_PREFIX

conda-recipe-cf/meta.yaml

@@ -28,7 +28,6 @@ requirements:
       - scikit-build
       - python
       - mkl-devel
-      - tbb-devel
       - numpy
     run:
       - python

conda-recipe/AGENTS.md

@@ -13,7 +13,7 @@ Conda package build recipe for Intel channel distribution.
 - **Channels:** `https://software.repos.intel.com/python/conda`, `conda-forge`
 - **Python versions:** 3.10, 3.11, 3.12, 3.13, 3.14
 - **Compilers:** Intel C compiler (icx/icl)
-- **Dependencies:** mkl-devel, tbb-devel, dpcpp_{linux,win}-64, numpy-base
+- **Dependencies:** mkl-devel, dpcpp_{linux,win}-64, numpy-base
 
 ## Build outputs
 - Conda package: `mkl_umath-<version>-<build>.conda`
@@ -27,4 +27,4 @@ Conda package build recipe for Intel channel distribution.
 ## Maintenance
 - Keep `conda_build_config.yaml` in sync with CI matrix
 - NumPy pin: must match Intel channel NumPy versions
-- MKL/TBB versions: track oneAPI releases
+- MKL version: track oneAPI releases

conda-recipe/meta.yaml

@@ -28,7 +28,6 @@ requirements:
       - python
       - python-gil     # [py>=314]
       - mkl-devel
-      - tbb-devel
       - numpy-base
       - wheel  >=0.41.3
     run: