Threading Building Blocks

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Threading Building Blocks
Developer(s)Intel
Stable release
2021.4 / October 4, 2021; 58 days ago (2021-10-04)[1]
Repository
Written inC++
Operating systemFreeBSD, Linux, Solaris, macOS, Windows, Android
Typelibrary or framework
Licensedual: commercial / open source (Apache 2.0), plus Freeware[2]
Websitegithub.com/oneapi-src/oneTBB
intel.com/oneTBB

oneAPI Threading Building Blocks (oneTBB), formerly Threading Building Blocks (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[edit]

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[edit]

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
  • 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

Systems supported[edit]

The hardware, operating system, and software prerequisites for oneTBB.

Supported Hardware[edit]

  • Intel Celeron processor family
  • Intel Core processor family
  • Intel Xeon processor family
  • Intel Xeon Phi processor family
  • Intel Atom processor family
  • Non-Intel processors compatible with the processors above

Supported Operating Systems[edit]

Systems with Microsoft Windows operating systems:

  • Microsoft Windows 10
  • Microsoft Windows Server 2016
  • Microsoft Windows Server 2019

Systems with Linux* operating systems:

  • Clear Linux
  • Amazon Linux 2
  • CentOS 8
  • Debian 10
  • Fedora 34
  • Red Hat Enterprise Linux 7, 8
  • SuSE Linux Enterprise Server 15
  • Ubuntu 18.04 LTS, 20.04, 21.04

Systems with macOS operating systems:

  • macOS 10.15, 11.x

Systems with Android operating systems:

  • Android 9

Supported Compilers[edit]

  • Intel oneAPI DPC++/C++ Compiler
  • Intel C++ Compiler 19.0 and 19.1 version
  • Microsoft Visual C++ 14.2 (Microsoft Visual Studio 2019, Windows OS only)
  • GNU Compilers (gcc) 4.8.5 - 11.1.1
  • GNU C Library (glibc) version 2.17 - 2.33
  • Clang 6.0.0-12.0.0


See also[edit]

Notes[edit]

  1. ^ "oneAPI Threading Building Blocks Github Releases".
  2. ^ "No Cost Options for Intel Support yourself, Royalty-Free".
  3. ^ Contreras, Gilberto; Martonosi, Margaret (2008). Characterizing and improving the performance of Intel Threading Building Blocks (PDF). IEEE Int'l Symp. on Workload Characterization.
  4. ^ https://software.intel.com/en-us/intel-tbb Intel Threading Building Blocks Commercial Version Homepage
  5. ^ Bocchino Jr., Robert L.; Adve, Vikram S.; Adve, Sarita V.; Snir, Marc (2009). Parallel Programming Must Be Deterministic by Default. USENIX Workshop on Hot Topics in Parallelism.

References[edit]

External links[edit]