Introduction to High-Performance Scientific Computing (2014)

pages.tacc.utexas.edu

191 points·ingve··5 comments

Damn, I would have loved to have this book during my studies in Compuational Science and Engineering [CSE] (especially the chapters on Molecular Dynamics and the N-Body Problem, since these topics are great examples for the introduction of high-performance computing on a bigger scale or computational physics in general).

Quite a few equations and pictures are not rendered correctly online; I found the PDF version of the book from Mr. Eijkhout's official site: http://pages.tacc.utexas.edu/~eijkhout/Articles/EijkhoutIntr...

PS: In case some people are interested in these kind of topics (high-performance computing, simulations, and computational physics) and live in Switzerland (or plan to study there), the CSE major at ETH Zürich covers almost all the presented topics in Mr. Eijkhout's book: http://www.rw.ethz.ch/ Disclaimer: Got my degree in CSE from there.

This guy also had a series on OpenMP and MPI. Had some very good exercises. The numerical linear algebra part looks interesting.

Could you link it? I'm having a class on both of those and could use some help.

Just out of curiosity, since it is ~5 years old, how much of this is still current?

Since it does not treat technologies but rather concepts, it is very much up to date. Everybody in HPC does Monte Carlo and parallel processing, these concepts are still fundamental to working in scientific computing.

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