Scale Your C++ Apps Efficiently with TBB Concurrent Container Classes

Ever wondered how to scale your C++ application most effectively? Or how two threads can compete for limited resourcing in a concurrent environment?

Providing concurrent access to container classes is not trivial and can burn a large portion of scalable application time. In this webinar, Software Development Engineer Aleksei Fedotov will discuss:

  • Why exclusive access to the Standard Template Library (STL) containers such as vector or map does not guarantee scalability
  • How the situation could be improved to support a concurrent environment properly
  • An overview of the highly concurrent container classes available in Threading Building Blocks < https://software.intel.com/en-us/intel-tbb> library and the purposes they can be useful for

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Aleksei Fedotov, Software Development Engineer, Intel Corporation

Aleksei Fedotov is a Software Development Engineer at Intel responsible for the Threading Building Blocks (TBB) library, including key features such as flow graph, parallel algorithms, and concurrent containers. His expertise includes parallel processing, machine learning, and hardware architectures. Prior to joining Intel, Aleksei worked on a parallel framework for cache-efficient image processing, and implemented mathematical and statistical algorithms for serial, parallel, and distributed computing.

Aleksei holds a master’s degree in Applied Mathematics and Informatics from N. I. Lobachevsky State University in Nizhny Novgorod.

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Adventures in Threading: How TBB is Advancing Parallelism

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Expressing Parallelism in C++ with Threading Building Blocks

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Developer Tools

Intel® Threading Building Blocks (Intel® TBB)

Simplify the task of adding parallelism to your application with this highly templatized C++ library. Take advantage of the CPUs...

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