Intel® Threading Building Blocks (TBB) offers a rich and complete approach to expressing parallelism in a C++ program. It is a library that helps you take advantage of multi-core processor performance without having to be a threading expert. Threading Building Blocks is not just a threads-replacement library. It represents a higher-level, task-based parallelism that abstracts platform details and threading mechanism for performance and scalability.
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This blog entry is intended to help you better understand the way concurrent vector works with the memory and how to use it wisely for your program to work faster or consume less memory.
The concurrency comes with the price
Let’s open
Have you ever confronted compiler or linker errors while building a Intel(R) Threading Building Blocks (TBB) based application with Microsoft* Visual Studio*? What was the problem there? Perhaps the path to the TBB headers was absent? Or TBB
The TBB class task was designed for high-performance implementations of the TBB templates. It's efficiency, particularly its emphasis on continuation-passing style, comes at some price in convenience. Rick Molloy of Microsoft has posted a
In this series of postings, I discuss two common sorting algorithms, mergesort and quicksort, and highlight some of the interesting issues that arise when creating parallel implementations using TBB. In all cases we’ll assume that, like STL’s
On a quest to understand the TBB scheduler and how it might be used to schedule tasks with order dependencies (i.e., a place where you’d like to block access to an object until it can get built), I’ve been building up tools to take a peek. Last time I showed a technique to use thread [...]
Equalizer - Parallel Rendering, libpthread-stubs, PM2, TransactionKit, XCB