.. Math417 master file, created by sphinx-quickstart on Wed Aug 9 12:41:44 2017. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. High Performance Scientific Computing ========================================================================== General information ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - **Instructor:** `Mohammad Motamed`__ - **Disclaimer:** These notes on high performance scientific computing are being developed for the course Math/CS 471 at the University of New Mexico, Fall 2020. As a work in progress, these pages will be modified and supplemented over time. It is not intended to be a complete textbook on the subject, by any means. The goal is to get the student started with a few key concepts and then encourage further reading elsewhere. - **License:** These notes are being made freely available and are released under the `Creative Commons CC BY`__ license. Interested students and researchers are welcome to use the materils and quote from them as long as they give appropriate attribution. - **Description:** This is an introductory course in scientific computing, the third pillar of the scientific method. The course will attempt to expose you to a number of different concepts, ideas, and technologies, including introduction to hardware, software, and programming for large-scale scientific computing; overview of multicore, cluster, and supercomputer architectures; Fortran 90/95 programming language; Perl scripting language; parallel computing paradigms and languages; performance evaluation; stability of numerical methods; error analysis and convergence; ODE/PDE applications such as diffusion, heat transfer, and wave propagation; Monte Carlo simulations; and scientific software development. - **Syllabus:** An inital version of the syllabus can be found `here`__. Check it regularly for possible updates. - **Required background:** * `UNM Prerequisites`: Llinear algebra (Math 314 or 321), and ODEs (Math 316), and programming skills. * `Required`: Experience writing and debugging computer programs is required. Students should also be comfortable with undergraduate mathematics, particularly calculus and linear algebra. * `Recommended`: Experience with mathematical/statistical computing, for example in Matlab or R, is preferred. Past exposure to numerical analysis and computation is a plus. Previous knowledge of Fortran or parallel computing languages is not assumed. Course schedule ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. toctree:: :maxdepth: 1 schedule Course topics ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. toctree:: :maxdepth: 1 sc unix reproducibility vc bitbucket git perl perl_lab newton fortran makefiles fd ode parallel stampede2 openmp pde mpi Homework assignments ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. toctree:: :maxdepth: 1 hw1 hw2 hw3 hw4 hw5 hw6 hw7 __ http://math.unm.edu/~motamed/ __ https://creativecommons.org/licenses/by/4.0/ __ http://math.unm.edu/~motamed/Teaching/Fall20/HPSC/syllabus_v1.pdf