Modern C++ GPU computing with std::algorithm and CUDA

Modern C++ GPU computing with std::algorithm and CUDA

Modern C++ GPU computing with std::algorithm and CUDA

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Leading up to the summer program, we’re hosting a special series of 18 webinars called « Gray Scott Thursdays » focus on Unit tests, CPU & GPU Architecture, Computing precision, Memory allocation, CPU & GPU computing with Modern C++, Rust, Fortran, Python and Sycl, also EVE and CUDA…

These weekly sessions will:

  • Introduce key topics from the courses
  • Give you an update of the most known languages and libraries 
  • Develop your skills and give you the chance to meet our incredible professors

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Description

In C++, GPU computing evoled drastically in 2020 when NVidia announced its compiler, nvc++, could compile C++ 17 computing directly on GPU without the need for the developer to use extra libraries such as SYCL, Kokkos, etc. Now, nvc++ can also deal with C++20 and Intel came in the race with dpc++. In this webinar, we will see how to compute on GPU with C++17 and C++20. Common ponits and differences with other approches, such as CUDA, and its compatibility with C++17 on CPU as we mentionned is a previous webinar.

Pour s’inscrire à cet évènement, Veuillez vous rendre à l’URL suivante : https://teratec.webex.com/weblink/register/r6366304e04c0f5a3a11cdd29161dcaa9 →

 

Date et heure

jeudi 17 avril 25 @ 10:00 à
jeudi 17 avril 25 @ 11:30
 

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