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Intel® Threading Building Blocks
Справочное руководство Intel® TBB – теперь в HTML!
У нас в Intel® TBB хорошая новость: Справочное руководство Intel® TBB, больше известное обществу как Reference.pdf, теперь доступно в HTML версии на нашем опен-сорс сайте.
Так же на страничке документации, как обычно, документы из последнего обновления и выложен новый вариант doxygen-документации.
--Владимир
TBB 3.0: New (today) Version of Intel Threading Building Blocks
We are happy to introduce Intel® Threading Building Blocks 3.0 (TBB). TBB 3.0 builds on the past four years of TBB by adding to the breadth and depth of features in the library, improving performance, and in the Windows version utilizing the latest developments from Microsoft to support parallelism.
First, I will recap with a brief history of TBB, skip this if you want to rush to the new features. And be sure to read about Adobe at the end of my blog.
History: Outfitting C++ for parallelism
First, I will recap with a brief history of TBB, skip this if you want to rush to the new features. And be sure to read about Adobe at the end of my blog.
History: Outfitting C++ for parallelism
n-bodies: a parallel TBB solution: parallel code: so what does TBB_USE_THREADING_TOOLS do?
Our East coast Parallelism Road Show was a success, and having finally caught up with some of the work that piled up while I was gone, I’ll squeeze enough time at least to add a footnote to a previous rambling.
n-bodies: a parallel TBB solution: serial body drill-down
Having discovered which function consumes most of the time in the serial algorithm last time, there’s still more to discover by narrowing the focus to a specific function of interest. Our function, shown last time and below, is addAcc.


Version 2.2, Intel Threading Building Blocks, worth a look
If you write C or C++ code, and you haven’t given Intel Threading Building Blocks (TBB) a try, you really should. Intel Threading Building Blocks has emerged as the most popular high level programming method for writing parallel programs (see Evans Data Corp: http://www.evansdata.com/research/market_alerts.php).
Intel® Threading Building Blocks, OpenMP* или потоки ОС?
Каким API лучше воспользоваться для распараллеливания приложения? Обзор факторов, которые необходимо учесть при принятии решения.

