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  * Intro to High Performance Scientific Computing
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Introduction to High-Performance Scientific Computing



I have written a textbook with both theory and practical tutorials in
the theory and practice of high performance computing. This book is
released under a CC-BY license, thanks to a gift from the Saylor
Foundation.

Printed copies are for sale from lulu.com
front-500


Get your free pdf download here. Public repo TBA.

10.5281/zenodo.49897

Table of contents of the HPC book:


  * Single processor computer architecture
  * Parallel computer architecture
  * Computer arithmetic
  * Numerical treatment of differential equations
  * Numerical linear algebra
  * High performance linear algebra
  * Combinatorics
  * Tutorials on LaTeX, Unix, Compilers, Make, Source code control



Experimental html version.

Check out my MPI/OpenMP/Petsc book. Pdf downloads. It also has an
html version. Public repository.

My latest project is a C++/Fortran2008 book. Pdf downloads. It
contains some nifty programming assignments:

  * Spread of infectious diseases.
  * Redistricting and Gerrymandering
  * Google Pagerank
  * Amazon Delivery Trucks
  * High performance linear algebra.



Kudos for the HPC book: "this is a monumental achievement" [Cray
Inc], "This is an excellent, expertly crafted, highly readable book
that is the best snapshot of the state of HPC that I have seen in
many years." [Intel Corp], "comprehensive overview of high
performance computing that excellently balances theory and
application" [Simulation Consultant]. "superb, a bible for
sci.computing" [University of Tennessee]

This book was originally designed for the SSC 335/394 "Introduction
to Scientific and Technical Computing" course at UT. Right now it is
listed as textbook or recommended reading by the following:
Pasted Graphic


  * Michigan State University CMSE 822: Parallel Computing (primary
    course material)
  * University of Maryland, AMSC/CMSC 662 (official textbook)
  * University of Utah, CS6230 Parallel Computing and HPC for
    Scientific Computing and Data Science (textbook)

  * Pontificia Universidad Catolica de Chile, IMT2112 (textbook)

  * University of Liege, INFO 0939 (official textbook)

  * University of New Mexica, Math/CS 471 (textbook)

  * San Diego State University, COMP 696 (primary textbook)

  * UC Boulder APPM 4720/5720 (textbook)
  * University of Texas at El Paso, CPS 5401 (textbook)

  * NYU school of medicine, HPC in biomedical (required reading)

  * Los Alamos, Information Science and Technology Institute
    (recommended reading)
  * Brigham Young University IT 515R Scientific Computing

  * Gordon College, CPS371
  * University of Bath, CM30225
  * Illinois Institute of Technology, CS595
  * ETH / Swiss National Supercomputer Center
  * University Duisburg Essen, HPC 2014/2015
  * University of Notre Dame, ACMS60212/40212
  * Technische Universitat Munchen, Informatics V
  * University of Tennessee, Knoxville: CS 594-4, M578
  * Computation Institute, University of Chicago
  * Purdue University, CS 50100
  * University of New South Wales, Math3101/Math5305
  * University of Connecticut, Physics 2200
  * University of Tartu, Scientific Computing MTAT.08.010
  * Weierstrass Institute for Applied Analysis and Stochastics
    Berlin, Scientific Computing course
  * University of Pittsburgh, math 1070/1080
  * University of British Columbia, COSC 407
  * Georgia Tech, CSE 8803HNC
  * Sabanci Universitesi, CS 531
  * University of Bath, CM30225 Parallel Computing


The MPI/OpenMP book is used or referenced here:

  * University of Utah, CS6230 Parallel Computing and HPC for
    Scientific Computing and Data Science (textbook)
  * ETH Zurich, HPCSE I, 2017 (textbook)
  * RWTH Aache: HPAC WS 16/17
  * Vi-SEEM 2017
  * San Diego State University, COMP/CS 605 (suggested reading)
  * Institute of Plasma Physics, Chinese Academy of Sciences
  * Gordon College CPS343
  * University of Illinois, Computer Science, HPC Fall 2012
  * ACM/SIAM Student Chapter KAUST | 2017
  * 


(image: Victor teaching a short course at Shanghai Jiao Tong
University. If you want Victor to teach at your institution, contact
him by the link below.)


@Book{Eijkhout:IHPSClulu,
  Title                    = {Introduction to High Performance Scientific Computing},
  Author                   = {{Victor Eijkhout with Robert van de Geijn and Edmond Chow}},
  Publisher                = {lulu.com},
  Year                     = {2011},
  Note                     = {\url{http://www.tacc.utexas.edu/~eijkhout/istc/istc.html}},
  Abstract                 = {\url{http://www.lulu.com/shop/victor-eijkhout/introduction-to-high-performance-scientific-computing/paperback/product-18783375.html}, also downloadable from \url{http://tinyurl.com/EijkhoutHPC}},
  ISBN                     = {978-1-257-99254-6},



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