Intel® oneAPI Threading Building Blocks

Scalable Parallel Programming at Your Fingertips

Advanced Threading for Fast 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.

Develop in the Cloud

Get what you need to build, test, and optimize your oneAPI projects for free. With an Intel® DevCloud account, you get 120 days of access to the latest Intel® hardware—CPUs, GPUs, FPGAs—and Intel oneAPI tools and frameworks. No software downloads. No configuration steps. No installations.

Get Access

Download the Library

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.

Get It Now

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 processors and accelerators.