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Python* API for Intel® oneAPI Threading Building Blocks (oneTBB) .

Overview

It is a preview Python* module which unlocks opportunities for additional performance in multi-threaded and multiprocess Python programs by enabling threading composability between two or more thread-enabled libraries like Numpy, Scipy, Sklearn, Dask, Joblib, and etc.

The biggest improvement can be achieved when a task pool like the ThreadPool or Pool from the Python standard library or libraries like Dask or Joblib (used either in multi-threading or multi-processing mode) execute tasks calling compute-intensive functions of Numpy/Scipy/Sklearn/PyDAAL which in turn are parallelized using Intel® oneAPI Math Kernel Library or/and oneTBB.

The module implements Pool class with the standard interface using oneTBB which can be used to replace Python's ThreadPool. Thanks to the monkey-patching technique implemented in class Monkey, no source code change is needed in order to enable threading composability in Python programs.

For more information and examples, please refer to forum discussion.

Directories

  • rml - The folder contains sources for building the plugin with cross-process dynamic thread scheduler implementation.
  • tbb - The folder contains Python module sources.

Files

  • setup.py - Standard Python setup script.
  • TBB.py - Alternative entry point for Python module.

CMake predefined targets

  • irml - compilation of plugin with cross-process dynamic thread scheduler implementation.
  • python_build - building of oneTBB module for Python.

Command-line interface

  • python3 -m tbb -h - Print documentation on command-line interface.
  • pydoc tbb - Read built-in documentation for Python interfaces.
  • python3 -m tbb your_script.py - Run your_script.py in context of with tbb.Monkey(): when oneTBB is enabled. By default only multi-threading will be covered.
  • python3 -m tbb --ipc your_script.py - Run your_script.py in context of with tbb.Monkey(): when oneTBB enabled in both multi-threading and multi-processing modes.
  • python3 setup.py build -b<output_directory_path> -f check - Build oneTBB module for Python. (Prerequisites: built and sourced oneTBB and IRML libraries)
  • python3 setup.py build -b<output_directory_path> build_ext -I<path_to_tbb_includes> -L<path_to_prebuilt_libraries> install -f <additional_flags> - Build and install oneTBB module for Python. (Prerequisites: built oneTBB and IRML libraries)
  • python3 -m TBB test - run test for oneTBB module for Python.
  • python3 -m tbb test - run test for oneTBB module for Python.

System Requirements

  • The Python module was not tested on older versions of Python thus we require at least Python and 3.5 or higher.
  • SWIG must be of version 3.0.6 or higher.