Landau Computational Physics Course - 11. Exercises in High Performance Computing

At some point in serious computation it may become important to understand how to make a program run faster. Understanding how the computer hardware and software affect performance is one way to do this. (Buying a faster computer may help, but getting more CPUs may not.) 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.