Architecture of Advanced Numerical Analysis Systems
Designing a Scientific Computing System using OCaml
Book Details
| Authors | Liang Wang, Jianxin Zhao |
| Publisher | Apress |
| Published | 2022 |
| Edition | 1 |
| Paperback | 472 pages |
| Language | English |
| ISBN-13 | 9781484288528, 9781484288535 |
| ISBN-10 | 1484288521, 148428853X |
| License | Creative Commons Attribution |
Book Description
This unique open access book applies the functional OCaml programming language to numerical or computational weighted data science, engineering, and scientific applications. This book is based on the authors' first-hand experience building and maintaining Owl, an OCaml-based numerical computing library.
You'll first learn the various components in a modern numerical computation library. Then, you will learn how these components are designed and built up and how to optimize their performance. After reading and using this book, you'll have the knowledge required to design and build real-world complex systems that effectively leverage the advantages of the OCaml functional programming language.
- Optimize core operations based on N-dimensional arrays
- Design and implement an industry-level algorithmic differentiation module
- Implement mathematical optimization, regression, and deep neural network functionalities based on algorithmic differentiation
- Design and optimize a computation graph module, and understand the benefits it brings to the numerical computing library
- Accommodate the growing number of hardware accelerators (e.g. GPU, TPU) and execution backends (e.g. web browser, unikernel) of numerical computation
- Use the Zoo system for efficient scripting, code sharing, service deployment, and composition
- Design and implement a distributed computing engine to work with a numerical computing library, providing convenient APIs and high performance
This book is available under a Creative Commons Attribution license (CC BY), which means that you are free to copy, distribute, and modify it, as long as you give appropriate credit to the original author.
If you enjoyed the book and would like to support the author, you can purchase a printed copy (hardcover or paperback) from official retailers.
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