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(3rd Ed) Parallel Computing
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Landau Computational Physics Course - (3rd Ed) Parallel Computing

4.0 (3)
20 learners

What you'll learn

This course includes

  • 31 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

Full Transcript

To follow lecture 10 on High Performance Computing. Some basics considerations for parallel computing. This is just one of 61 Lectures covering a full one-year Course in Computational Physics previously taught by Rubin Landau at Oregon State University. (The number refers to the chapter and section in reference 1 below.) There are video modules (Flash), slides, codes, quizzes, and all the lectures at: http://sites.science.oregonstate.edu/~landaur/Books/CPbook/eBook/Lectures/ The YouTube playlist with all videos is at: https://www.youtube.com/playlist?list=PLnWQ_pnPVzmJnp794rQXIcwJIjwy7Nb2U References: 1. Computational Physics, 3rd Ed, Problem Solving with Python, Rubin H Landau, Manuel J Paez & Cristian Bordeianu (deceased), © Wiley 2015. 2. A Survey of Computational Physics with Java, Rubin H Landau, Manuel J Paez & Cristian Bordeianu (deceased), © Princeton University Press, 2008.

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