Intel ITB999ASGE1 用户手册
Top Features
Flow Graph
The flow graph feature provides a flexible and convenient API for
expressing static and dynamic dependencies between computations. It is
customizable for a wide variety of problems. It also extends the
applicability of Intel® Threading Building Blocks (Intel® TBB) to event-
driven/reactive programming models.
Intel TBB delivers high performing and reliable code with less effort than
hand-made threading. Pre-tested algorithms, concurrent containers,
synchronization primitives, and a scalable memory allocator simplify
parallel application development.
expressing static and dynamic dependencies between computations. It is
customizable for a wide variety of problems. It also extends the
applicability of Intel® Threading Building Blocks (Intel® TBB) to event-
driven/reactive programming models.
Intel TBB delivers high performing and reliable code with less effort than
hand-made threading. Pre-tested algorithms, concurrent containers,
synchronization primitives, and a scalable memory allocator simplify
parallel application development.
Design For Scaling
Dynamic Task Scheduler
Application performance can automatically improve as processor core
count increases by using abstract tasks. The sophisticated Intel® TBB task
scheduler dynamically maps tasks to threads to balance the load among
available cores, preserve cache locality, and maximize parallel
performance. The implementation supports C++ exceptions, task/task
group priorities, and cancellation which are essential for large and
interactive parallel C++ applications.
Dynamic task scheduler and parallel algorithms support nested and
recursive parallelism as well as running parallel constructs side-by-side.
This is useful for introducing parallelism gradually and helps independent
implementation of parallelism in different components of an application.
count increases by using abstract tasks. The sophisticated Intel® TBB task
scheduler dynamically maps tasks to threads to balance the load among
available cores, preserve cache locality, and maximize parallel
performance. The implementation supports C++ exceptions, task/task
group priorities, and cancellation which are essential for large and
interactive parallel C++ applications.
Dynamic task scheduler and parallel algorithms support nested and
recursive parallelism as well as running parallel constructs side-by-side.
This is useful for introducing parallelism gradually and helps independent
implementation of parallelism in different components of an application.
#Pragma Simd and Intel® TBB can be used together
Cross Platform Support and Composability
Organizations that require cross platform support today or anticipate
needing it in the future should consider Intel TBB. It is validated and
commercially supported on Windows*, Linux*, and OS X* platforms, using
multiple compilers. It is also available on FreeBSD*, IA-based Solaris*, and
PowerPC*-based systems via the open source community. Intel TBB is
optimized for multicore architectures and Intel® Xeon Phi™ coprocessor.
Intel TBB is designed to co-exist with other threading packages and
technologies. Different components of Intel TBB can be used
independently and mixed with other threading technologies.
needing it in the future should consider Intel TBB. It is validated and
commercially supported on Windows*, Linux*, and OS X* platforms, using
multiple compilers. It is also available on FreeBSD*, IA-based Solaris*, and
PowerPC*-based systems via the open source community. Intel TBB is
optimized for multicore architectures and Intel® Xeon Phi™ coprocessor.
Intel TBB is designed to co-exist with other threading packages and
technologies. Different components of Intel TBB can be used
independently and mixed with other threading technologies.
Order the
Top Community Support
Broad support from an involved community provides developers access to
additional platforms and OS’s. Intel® Premier Support services and Intel®
Support Forums provide confidential support, technical notes, application
notes, and the latest documentation.
A complete documentation package and code samples are readily available
both as a part of Intel TBB installation and online at
additional platforms and OS’s. Intel® Premier Support services and Intel®
Support Forums provide confidential support, technical notes, application
notes, and the latest documentation.
A complete documentation package and code samples are readily available
both as a part of Intel TBB installation and online at
provides an
introduction into Intel TBB. The Design Patterns chapter in the User Guide
covers common parallel programming patterns and how to implement
them using Intel TBB. The
covers common parallel programming patterns and how to implement
them using Intel TBB. The
contains formal descriptions
of all classes and functions implemented in Intel® TBB.
tbb::parallel_for
(0, n, [](int i) {
#pragma simd reduction
(+:S[i])
for( int j=0; j<n; ++j )
S[i] += A[i][j];
});
//No OS specific code required