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Threading Building Blocks
Developer(s)	Intel
Stable release	2021.8 / February 17, 2023; 21 months ago
Repository	github.com/oneapi-src/oneTBB ;
Written in	C++
Operating system	FreeBSD, Linux, Solaris, macOS, Windows, Android
Type	library or framework
License	dual: commercial / open source (Apache 2.0), plus Freeware
Website	github.com/oneapi-src/oneTBB; intel.com/oneTBB;

oneAPI Threading Building Blocks (oneTBB; formerly Threading Building Blocks or TBB) is a C++ template library developed by Intel for parallel programming on multi-core processors. Using TBB, a computation is broken down into tasks that can run in parallel. The library manages and schedules threads to execute these tasks.

Overview

A oneTBB program creates, synchronizes, and destroys graphs of dependent tasks according to algorithms, i.e. high-level parallel programming paradigms (a.k.a. Algorithmic Skeletons). Tasks are then executed respecting graph dependencies. This approach groups TBB in a family of techniques for parallel programming aiming to decouple the programming from the particulars of the underlying machine.

oneTBB implements work stealing to balance a parallel workload across available processing cores in order to increase core utilization and therefore scaling. Initially, the workload is evenly divided among the available processor cores. If one core completes its work while other cores still have a significant amount of work in their queue, oneTBB reassigns some of the work from one of the busy cores to the idle core. This dynamic capability decouples the programmer from the machine, allowing applications written using the library to scale to utilize the available processing cores with no changes to the source code or the executable program file. In a 2008 assessment of the work stealing implementation in TBB, researchers from Princeton University found that it was suboptimal for large numbers of processors cores, causing up to 47% of computing time spent in scheduling overhead when running certain benchmarks on a 32-core system.^[3]

oneTBB, like the STL (and the part of the C++ standard library based on it), uses templates extensively. This has the advantage of low-overhead polymorphism, since templates are a compile-time construct which modern C++ compilers can largely optimize away.

oneTBB is available commercially as a binary distribution with support,^[4] and as open-source software in both source and binary forms.

oneTBB does not provide guarantees of determinism or freedom from data races.^[5]

Library contents

oneTBB is a collection of components for parallel programming:

Basic algorithms: parallel_for, parallel_reduce, parallel_scan
Advanced algorithms: parallel_pipeline, parallel_sort
Containers: concurrent_queue, concurrent_priority_queue, concurrent_vector, concurrent_hash_map, concurrent_unordered_map, concurrent_unordered_set, concurrent_map, concurrent_set
Memory allocation: scalable_malloc, scalable_free, scalable_realloc, scalable_calloc, scalable_allocator, cache_aligned_allocator
Mutual exclusion: mutex, spin_mutex, queuing_mutex, spin_rw_mutex, queuing_rw_mutex, recursive_mutex
Timing: portable fine grained global time stamp
Task scheduler: direct access to control the creation and activation of tasks