- 289 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Introduction to Scientific and Technical Computing
About This Book
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.
Frequently asked questions
Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- Foreword
- Preface
- Editors
- Contributors
- 1. Operating Systems Overview
- 2. Machine Numbers and the IEEE 754 Floating-Point Standard
- 3. Developing with Git and Github
- 4. Introduction to Bash Scripting
- 5. Debugging with gdb
- 6. Makefiles, Libraries, and Linking
- 7. Linking and Interoperability
- 8. Build Management with CMake
- 9. Getting Started with Python 3
- 10. Prototyping
- 11. Introduction to High-Performance Computing Systems
- 12. Introduction to Parallel Programming with MPI
- 13. Introduction to OpenMP
- 14. Checkpointing Code for Restartability with HDF5
- 15. Libraries for Linear Algebra
- 16. Parallel Computing with Accelerators
- 17. Testing and Verification
- 18. Validation of Computational Models and Codes
- 19. Software Licensing and Distribution
- Index