Features

• Task based parallelism
  
  
• Ready to use parallel algorithms
  
  
• Cross platform support
  
  
• Library based solution
  
  
• Highly concurrent containers

Benefits

• 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
    
    
• 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.
    
    
• 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
    
    
  • Supports industry-leading compilers from Intel, Microsoft and GNU.
    
    
  • Speeds deployment of applications on multiple multi-core platforms.
    
    
• Get highly optimized parallel functionality now with minimal effort.
  
  
  • Your C++ application simply calls the Intel 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
    
    
• 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.

System Requirements

Intel TBB is cross-platform (Windows, Linux, and Mac OS X),supports 32-bit and 64-bit applications and works with Intel,Microsoft and GNU compilers. Intel TBB 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 TBB rely on generic programming in order to provide high-speed and flexible algorithms with very few implementation constraints.