GTC 2020: Thrust, CUB, and libcu++ Users Forum

Technical Blogs & Events Presentations
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GTC 2020 CWE21285
Presenters: Bryce Lelbach,NVIDIA; Michal Dominiak, ; Olivier Giroux, ; Jared Hoberock,
Abstract
Come join NVIDIA’s CUDA C++ Core Libraries team for a Q&A session on:

  • Thrust—CUDA C++'s high-productivity general-purpose library and parallel algorithms implementation
  • CUB—CUDA C++'s high-performance collective algorithm toolkit
  • libcu++—the CUDA C++ standard library (introduced in CUDA 10.2)

Usage questions, feature requests, and bug reports are most welcome!

Connect directly with NVIDIA Experts to get answers to all of your questions on GPU programming and code optimization, share your experience, and get guidance on how to achieve maximum performance on NVIDIA’s platform.

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Hello All, Would appreciate pointers to set intersection examples and use cases for the NVIDIA GPU and heterogenous programming. Interested in optimizations such as all or nothing [1, 2, 3, 4, 5, 6] п [3, 4, 5, 6, 7, 8] = {} but
[2, 3, 4, 5, 6, 7] п [2, 3, 4, 5, 6, 7] = [2, 3, 4, 5, 6, 7]