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6 Sep 2016 Intel® Threading Building Blocks (Intel® TBB) is a runtime-based parallel programming model for C++ code that uses threads. It consists of a template-based runtime library to help you harness the latent performance of multicore processors. Use Intel TBB to write scalable applications that: Specify logical
21 Oct 2008 A detailed tutorial covering the use of all the major features of Intel® Threading Building Blocks.
Intel® Threading Building Blocks iv. 319872-009US. Revision History. Version. Version Information. Date. 1.21. Updated Optimization Notice. 2011-Oct-27. 1.20. Updated install paths. 2011-Aug-1. 1.19. Fix mistake in upgrade_to_writer example. 2011-Mar-3. 1.18. Add section about concurrent_vector idiom for waiting on
This document gives a quick example of how to use Intel's Thread Building Blocks, by means of a simple example. The example is available as a tarball here. The files are also available as syntax-highlighted HTML here (fatals.* and hrtime.h are elided). The latter portion of this document assumes the reader is following
Intel® Threading Building Blocks (Intel® TBB) provides two memory allocator templates that are similar to the STL template class std::allocator. On Windows* and Linux* operating systems, it is also possible to automatically replace all calls to standard functions for dynamic
7 Dec 2017 Intel® Threading Building Blocks C++ Sample Application Code Document number: 327305-002US.
16 Sep 2016 the Intel Threading Building Blocks (TBB) programming computers with multicore processors task based programming and work stealing. 2 using TBB our first .. Bibliography. Intel Threading Building Blocks. Tutorial. Available online via www.intel.com. Robert D. Blumofe and Charles E. Leiserson:.
23 Apr 2010
The Intel® Threading Building Blocks (Intel® TBB) library provides both a high-level and low-level interface to its task scheduler. The high-level interface, class task_group, lets you easily create groups of potentially parallel tasks from functors or lambda expressions.
Start learning more about these building blocks by following the links below or the navigation located at the top or bottom of the page: Generic Parallel Algorithms. Concurrent Containers. Flow Graph. Scalable Memory Allocation. Thread Local Storage. Task Scheduler (and Primitive Based Programming) Synchronization
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