Have you 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 discusses:

  • 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 the Intel® oneAPI Threading Building Blocks (oneTBB) library and how they can be used

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Aleksei Fedotov
Software development engineer, Intel Corporation

Aleksei Fedotov is responsible for the oneTBB library, including key features such as Flow Graph Analyzer, parallel algorithms, and concurrent containers. His expertise includes parallel processing, machine learning, and hardware architectures. Before 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 of applied mathematics and informatics from N. I. Lobachevsky State University in Nizhny Novgorod.

 

Intel® oneAPI Threading Building Blocks (oneTBB)

Simplify the task of adding parallelism to complex applications across diverse architectures. oneTBB is included as part of the Intel® oneAPI Base Toolkit.

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