Intel® oneAPI Threading Building Blocks

Scalable Parallel Programming at Your Fingertips

Simplified Development for Parallel Applications

Intel® oneAPI Threading Building Blocks (oneTBB)† is a flexible performance library that simplifies the work of adding parallelism to complex applications across accelerated architectures, even if you’re not a threading expert.

oneTBB is ideal for a wide range of compute-intense domains, such as:

  • Numeric weather prediction
  • Oceanography
  • Astrophysics
  • Genetic engineering
  • Seismic exploration
  • AI and automation
  • Energy resource exploration
  • Socioeconomics

†Intel® Threading Building Blocks (Intel® TBB) is now called Intel oneAPI Threading Building Blocks (oneTBB) to highlight that the tool is part of the oneAPI ecosystem.

Download as Part of the Toolkit

oneTBB is included in the Intel® oneAPI Base Toolkit, which is a core set of tools and libraries for developing high-performance, data-centric applications across diverse architectures.

Download the Stand-Alone Version

A stand-alone download of oneTBB is available. You can download binaries from Intel or choose your preferred repository.

      

Runtime Version

Develop in the Cloud

Build and optimize oneAPI multiarchitecture applications using the latest optimized Intel® oneAPI and AI tools, and test your workloads across Intel® CPUs and GPUs. No hardware installations, software downloads, or configuration necessary. Free for 120 days with extensions possible.

 

Help oneTBB Evolve

oneTBB is part of the oneAPI industry standards initiative. We welcome you to participate.

Specification

Open Source Version (GitHub*)

Features

oneTBB differs from typical threading packages in the following ways:

Specify Logical Performance, Not Threads
A runtime library automatically maps logical parallelism onto threads, making the most efficient use of processor resources.
 

Targets Threading for Performance
Focuses on the specific goal of parallelizing computationally intensive work, delivering higher-level, simpler solutions.


Coexists with Other Threading Packages
Seamlessly compatible with other threading packages, it gives you the flexibility to keep your legacy code as-is and use oneTBB for new implementations.

Emphasizes Scalable, Data-Parallel Programming
Rather than breaking up a program into functional blocks and assigning a separate thread to each, oneTBB emphasizes data-parallel programming, enabling multiple threads to work on different parts of a collection. This scales well to larger numbers of processors by dividing the collection into smaller pieces. Program performance increases as you add cores and processors.

Benchmarks 

This benchmark illustrates the performance scalability of oneTBB.

Documentation & Code Samples

Documentation

View Current Documentation

View Legacy Documentation

Code Samples

Get Started 

sub_string_finder

Learn how to use the parallel_for algorithm by locating a substring in the string.


Use oneTBB and SYCL* 

tbb-async-sycl

See how to split the computational kernel for running between a CPU and GPU.

tbb-resumable-tasks-sycl

Learn how to use parallel_for and resumable tasks to split the computational kernel between a CPU and GPU. 

tbb-task-sycl

Observe how similar computational kernels are run by two oneTBB tasks with TBB code and code that's compliant with SYCL*.  


Advanced Scenarios

parallel_for

Examples in this repository show how to use the parallel_for algorithm for a 2D ray tracer and renderer, seismic wave simulation, and more.

parallel_reduce

Learn how to use the parallel_reduce algorithm for the Sieve of Eratosthenes method, and more. 

Flow Graph

Examples in this repository show how to use a flow graph for a self-organizing map, the Cholesky Factorization algorithm, and more.

 

View All Code Samples (GitHub)

How to work with code samples: 

Specifications

Languages:
 
  • Data Parallel C++ (DPC++)
    Note Must have Intel® oneAPI Base Toolkit installed
  • C++


For more information, see the system requirements.

Operating systems:

  • Windows*
  • Linux*
  • macOS*
  • Android* (additional with open source) 

 

 

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