p2rng – A C++ Parallel Random Number Generator Library for the Masses
p2rng (https://github.com/arminms/p2rng) is a modern header-only C++ library for parallel algorithmic (pseudo) random number generation supporting OpenMP, CUDA, ROCm and oneAPI. Playing fair, mostly required for debugging and unit testing, is one of the unique features of p2rng. That means using the same seed and distribution you always get the same sequence of random numbers on all supported platforms. p2rng provides parallel versions of STL’s std::generate() and std::generate_n() algorithms with the same interface. In this seminar we first start with a quick review of preliminary concepts about algorithmic random number generators in general and parallelization techniques in particular. Then we continue with the standard way of generating random numbers with STL algorithms and how we can turn them into parallel version using p2rng.
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This webinar was presented by Armin Sobhani (SHARCNET) on October 18th, 2023, as a part of a series of weekly Compute Ontario Colloquia. The webinar was hosted by SHARCNET. The colloquia cover different advanced research computing (ARC) and high performance computing (HPC) topics, are approximately 45 minutes in length, and are delivered by experts in the relevant fields. Further details can be found on this web page: https://www.computeontario.ca/trainin... . Recordings, slides, and other materials can be found here: https://helpwiki.sharcnet.ca/wiki/Onl...
SHARCNET is a consortium of 19 Canadian academic institutions who share a network of high performance computers (http://www.sharcnet.ca). SHARCNET is a part of Compute Ontario (http://computeontario.ca/) and Digital Research Alliance of Canada (https://alliancecan.ca).
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