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Introduction to High Performance Scientific Computing

Victor Eijkhout

CC BY-NC-ND

The field of high performance scientific computing lies at the crossroads of a number of disciplines and skill sets, and correspondingly, for someone to be successful at using high performance computing in science requires at least elementary knowledge of and skills in all these areas. This book brings together the strands of numerical modeling, numerical linear algebra, computer architecture, parallel computing, performance optimization in a unified manner. The contents of this book are a combination of theoretical material and self-guided tutorials on various practical skills. Together, this teaches a graduate student or advanced undergraduate the necessary skills to be a successful computational scientist. Victor Eijkhout is a research scientist at the Texas Advanced Computing Center of The University of Texas at Austin. This book is released under a CC-BY license, thanks to a gift from the Saylor Foundation. Print copies and course materials are available from the author's web page.

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