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Threading Building Blocks 2.0
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An Open Source version of Intel® Threading Building Blocks is now available!

Overview



Intel® Threading Building Blocks

Intel® Threading Building Blocks (Intel® TBB) is an award-winning C++ runtime library that abstracts the low-level threading details necessary for optimal multi-core performance. It uses common C++ templates and coding style to eliminate tedious threading implementation work.

Intel® TBB requires fewer lines of code to achieve parallelism than other threading models. The applications you write are portable across platforms. Since the library is also inherently scalable, no code maintenance is required as more processor cores become available.

Intel TBB is available as a standalone product, or with the Intel® Compiler Professional Editions for a more complete and cost-effective solution.


Microsoft Visual Studio* Developers: Utilize the award-winning C++ runtime library that simplifies threading from within Microsoft Visual Studio* 2003, 2005 and 2008.

Intel® Threading Building Blocks Flash Demo
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Product Brief [PDF 678KB]

Intel® Threading Building BlocksNew Book - Intel® Threading Building Blocks: Outfitting C++ for Multi-core Processor Parallelism

Parallelism for C++ as defined by Intel Threading Building Blocks is being heralded as the key for multi-core programming in C++. This book explains the library in a way that furnishes novices and experts alike with a clear and accessible discussion of the complexities of concurrency. The book is also packed with illustrative examples and shows how to extract the most benefit from using TBB in your application. Learn more

“We used to say make it right, then make it fast. We can’t do that anymore. TBB lets us design for correctness and speed up front for Maya. This book shows you how to extract the most benefit from using TBB in your code.”
Martin Watt
Senior Software Engineer
Autodesk


Features
Ready to use parallel algorithms:

Select from a library of highly-efficient parallel algorithm templates, and rapidly obtain the advantages of multi-core Intel processors.

  • Quickly employ commonly needed algorithms designed for parallel performance and scalability.
  • Generic templates let you easily tailor these algorithms to your needs.
  • Supports easy plug-in deployment into applications to deliver scalable software speed-up, optimizing for both available cores and cache locality.
  • Reduce the work required to produce threaded software in many cases, by means of pre-built parallel constructs.

Figures 1 and 2 show ease of implementation and corresponding scalability and performance improvements when using Intel® Threading Building Blocks versus Windows* threads.


Figure 1. Side-by-side comparison of equivalent Windows* thread functionality shows dramatically simpler implementation with Intel® Threading Building Blocks versus native threads.

For a comparison of ease of implementation of Intel® Threading Building Blocks versus POSIX* threads, click here.



Figure 2. Better scalability and improved performance for Intel® Threading Building Blocks versus Windows* threads.

For a comparison of scalability and performance for Intel® Threading Building Blocks versus POSIX* threads, click here.


Cross platform support:

Write applications once and deploy on multiple OS's.

  • Provides a single solution for Windows*, Linux*, and Mac OS* X on 32-bit and 64-bit platforms using Intel®, Microsoft, and GNU compilers.
  • Supports industry-leading compilers from Intel, Microsoft and GNU.
  • Speeds deployment of applications on multiple multi-core platforms.

Task based parallelism:

Specify threading functionality in terms of logical tasks instead of physical threads.

  • Lets developer focus on higher level of scalable task patterns instead of low-level thread mechanics
  • Uses proven data-decomposition abstractions that efficiently use multiple cores
  • Enables automatic load balancing
  • Efficiently supports nested parallelism, allowing parallel components to be built from other parallel components

Library based solution:

Get highly optimized parallel functionality now with minimal effort.

  • Your C++ application simply calls the Threading Building Blocks library
  • Standard C++ - no need to rewrite code in a new language
  • Compatible with other threading packages
  • Allows unlimited distribution of the runtime libraries with your software
  • Seamlessly integrates into existing development environments

Highly concurrent containers:

Optimize the processor's ability to perform simultaneous tasks.

  • Simplify multithreaded application development with interfaces designed for thread-safety and high concurrency.
  • Improve application quality by employing pre-tested data structures.
  • Improve application performance by enabling multiple execution cores or processors to work together more efficiently.

Automatic grainsize calculation:

Intel® TBB can automatically calculate grainsize to control the granularity of a task in order to get good performance on multi-core processors.

New in This Release
The following features are new since Intel TBB 1.0:

  • Support for Microsoft Windows Vista*
  • Support for Apple Mac OS* X systems with Intel® 64 architecture
  • Support for Apple’s Mac OS* X 10.4.8
  • Support for additional Linux distributions, including: Red Hat EL5, Red Hat Fedora Core 5 and 6 and Asianux* 2.0
  • Improved performance/robustness of the spin_mutex class
  • Automatic grain size calculator for optimal algorithm parallelization
  • Open source version available

Library Components
Intel® Threading Building Blocks contains the following library components:

Generic Parallel Algorithms
  • parallel_for
  • parallel_reduce
  • parallel_scan
  • parallel_sort
  • parallel_while
  • pipeline

Assistant Classes to Use with Algorithms
  • blocked_range (for use with algorithms, containers, etc.)
  • blocked_range2d (for use with algorithms, containers, etc.)

Thread-Safe Containers
  • concurrent_hash_map
  • concurrent_queue
  • concurrent_vector

Synchronization Primitives
  • atomic
  • spin_mutex
  • spin_rw_mutex (reader-writer spin mutex)
  • queuing_mutex
  • queuing_rw_mutex (reader-writer queuing mutex)
  • mutex

Task Scheduler

Memory Allocation
  • scalable_allocator
  • cache_aligned_allocator
  • aligned_space

Timing
  • tick_count
Compatibility
The Intel Threading Building Blocks are cross-platform (Windows, Linux, and Mac OS X), support 32-bit and 64-bit applications as well as work with Intel, Microsoft and GNU compilers.

This library is specifically designed to work in concert with other threading technologies, such as Win32*, POSIX*, and OpenMP* threads, providing a high degree of design and development flexibility. The templates implemented in Intel Threading Building Blocks rely on generic programming in order to provide high-speed and flexible algorithms with very few implementation constraints.

Intel Threading Building Blocks adds to the functionality of Intel® Thread Checker, Intel® Thread Profiler, and the Intel® Compilers, to enable the rapid implementation of high-performance threads in applications.

Intel Threading Building Blocks supports the following processors:

  • Intel® Pentium® 4 processor
  • Intel® Xeon® processor
  • Intel Pentium D processor
  • 64-bit Intel Xeon processor
  • Intel® Core™ Solo processor
  • Intel Core Duo processor
  • Intel Core 2 Duo processor
  • Intel® Itanium® 2 processor (Linux* systems only)
  • Non Intel processors compatible with the above processors

Intel Threading Building Blocks supports the following operating systems:

Microsoft Windows* Systems
  • Microsoft Windows XP Professional
  • Microsoft Windows Server* 2003
  • Microsoft Windows Vista*

Linux* Systems
  • Red Hat Enterprise Linux* 3, 4 and 5 (when using Red Hat Enterprise Linux 4 with Intel Itanium processors, operating system Update 2 or higher is recommended)
  • Red Hat Fedora* Core 4, 5 and 6 (not with Intel Itanium processors)
  • Asianux* 2.0
  • Red Flag DC Server 5.0
  • Haansoft Linux* Server 2006
  • Miracle Linux v4.0
  • SuSE Linux Enterprise Server (SLES) 9 and 10
  • SGI Propack* 4.0 (with Intel Itanium processors only)
  • SGI Propack 5.0 (not with IA-32 architecture processors)
  • Mandriva/Mandrake Linux 10.1.06 (not with Intel Itanium processors)
  • Turbolinux GreatTurbo* Enterprise Server 10 SP1 (not with Intel Itanium processors)

Mac OS* X Systems
  • Mac OS X 10.4.4 or higher

Intel Threading Building Blocks supports the following compilers:

  • Microsoft Visual C++* 7.1 (Microsoft Visual Studio* .NET 2003, Windows systems only)
  • Microsoft Visual C++ 8.0 (Microsoft Visual Studio 2005, Windows systems only)
  • Intel® C++ Compiler 9.0 or higher (Windows and Linux systems)
  • Intel® C++ Compiler 9.1 or higher (Mac OS X systems)
  • For each supported Linux operating system, the standard gcc version provided with that operating system is supported, including: 3.2, 3.3, 3.4, 4.0, 4.1
  • For each supported Mac OS X operating system, the standard gcc version provided with that operating system is supported, including: 4.0.1 (Xcode* tool suite 2.2.1 or higher)

Technical Support
With the purchase of Intel Threading Building Blocks, you will receive one year of technical support and product updates from Intel® Premier Support, our interactive issue management and communication web site. This premium support service allows you to submit questions, download product updates, and access technical notes, application notes, and other documentation. For more information, visit the Intel Registration Center.

System Requirements
Intel Threading Building Blocks supports the following operating systems:



System Requirements for Microsoft Windows Systems

Hardware
Minimum Requirements
  • Intel® Pentium® 4 processor
  • 512 MB of RAM
  • 300 MB of disk space
Recommended
  • Intel Pentium 4 processor supporting Hyper-Threading Technology1 (HT Technology) or Intel® Xeon® processor
  • 1 GB of RAM
Software
Minimum Requirements
  • Microsoft Windows* XP Professional, Microsoft Windows Server* 2003, or Microsoft Windows Vista*
  • Intel® C++ Compiler 9.0 for Windows or higher
  • Microsoft Visual C++* 7.1 or 8.0
  • Microsoft Internet Explorer* 6.0 or higher
  • Adobe Reader* 6.0 or higher
Recommended
  • Intel® Thread Checker 3.0 or higher
  • Intel® Thread Profiler 3.0 or higher


System Requirements for Linux Systems

Hardware
Minimum Requirements
  • Intel® Pentium® 4 processor or Intel® Itanium® 2 processor
  • 512 MB of RAM
  • 300 MB of disk space
Recommended
  • Intel Pentium 4 processor supporting Hyper-Threading Technology1 (HT Technology), Intel® Xeon® processor, or Intel Itanium 2 processor
  • 1 GB of RAM
Software
Minimum Requirements
  • One of the following operating systems:
    • Red Hat Enterprise Linux* 3, 4, or 5
    • Red Hat Fedora Core* 4, 5, or 6 (not supported on Itanium-based systems)
    • Asianux* 2.0
    • Red Flag DC Server* 5.0
    • Haansoft Linux* Server 2006
    • Miracle Linux v4.0
    • SuSE Linux Enterprise Server* 9 or 10
    • SGI Propack* 4.0 (supported on Itanium-based systems only)
    • SGI Propack 5.0 (not with IA-32 architecture processors)
    • Mandriva/Mandrake Linux 10.1.06 (not with Intel Itanium processors)
    • Turbolinux GreatTurbo* Enterprise Server 10 SP1 (not with Intel Itanium processors)
  • One of the following compilers:
    • Intel® C++ Compiler 9.0 for Linux or higher
    • GCC 3.2, 3.3, 3.4, or 4.0, or 4.1
  • Adobe Reader* 6.0 or higher
Recommended
  • Intel® Thread Checker 3.0 or higher
  • Web browser


System Requirements for Mac OS X Systems with Intel Processors

Hardware
Minimum Requirements
  • Intel® Core™ Solo processor
  • 512 MB of RAM
  • 300 MB of disk space
Recommended
  • Intel® Core™ Duo processor
  • 1 GB of RAM
Software
Minimum Requirements
  • Mac OS* X 10.4.4
  • Xcode tool suite 2.2.1 or higher
  • Intel® C++ Compiler 9.1 for Mac OS X or higher
  • Adobe Reader* 6.0 or higher
Recommended
  • Web browser
1 Hyper-Threading Technology requires a computer system with an Intel® Pentium® 4 processor supporting HT Technology and a Hyper-Threading Technology enabled chipset, BIOS, and operating system. Performance will vary depending on the specific hardware and software you use. See http://www.intel.com/info/hyperthreading for more information including details on which processors support HT Technology.


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