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Features
Covers fundamentals of software engineering practice.
Offers fundamental working examples for topics of interest, which can serve as a starting points for readers to build necessary tools and code for their own projects.
Discusses topics relevant to readers of all disciplines that use computing and introduces terminology that helps them interact with computing experts.
Provides pointers and references for digger deeper into the details.
Includes code in all chapters that readers can download using the industry standard git utility, allowing them to experiment and modify according to their needs.
Examines software and tools such as Python, CMake, OpenMP, MPI, and HDF5.
Features chapters on bash scripting, parallel programming, testing and verification, and software licensing and distribution.
Summary
Created to help scientists and engineers write computer code, this practical book addresses the important tools and techniques that are necessary for scientific computing, but which are not yet commonplace in science and engineering curricula. This book contains chapters summarizing the most important topics that computational researchers need to know about. It leverages the viewpoints of passionate experts involved with scientific computing courses around the globe and aims to be a starting point for new computational scientists and a reference for the experienced. Each contributed chapter focuses on a specific tool or skill, providing the content needed to provide a working knowledge of the topic in about one day. While many individual books on specific computing topics exist, none is explicitly focused on getting technical professionals and students up and running immediately across a variety of computational areas.
Table of Contents
Operating Systems Overview
Eric Santiso
Machine Numbers and the IEEE 754 Floating Point Standard
Frank T. Willmore
Developing with Git and Github
Chris Ertel
Introduction to Bash Scripting
Eric Santiso
Debugging with gdb
Frank T. Willmore
Makefiles, Libraries, and Linking
Frank T. Willmore
Linking and Interoperability
Frank T. Willmore
Build Management with CMake
Ryan L. Marson and Eric Jankowski
Getting Started with Python 3
Brian C. Barnes and Michael S. Sellers
Prototyping
Charles Lena
Introduction to High-Performance Computing Systems
Todd Evans
Introduction to Parallel Programming with MPI
Jerome Vienne
Introduction to OpenMP
Yaakoub El Khamra
Checkpointing Code for Restartability with HDF5
Frank T. Willmore
Libraries for Linear Algebra
Victor Eijkhout
Parallel Computing with Accelerators
Inanç Senocak and Haoqiang Jin
Testing and Verification
Paul Kwiatkowski
Validation of Computational Models and Codes
Christopher R. Iacovella, Christoph Klein, Janos Sallai, and Ahmed E. Ismail
Software Licensing and Distribution
Paul Saxe