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Architecture of advanced numerical analysis systemsdesigning a scientific computing system using OCaml /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Architecture of advanced numerical analysis systemsby Liang Wang, Jianxin Zhao.
其他題名:	designing a scientific computing system using OCaml /
作者:	Wang, Liang.
其他作者:	Zhao, Jianxin.
出版者:	Berkeley, CA :Apress :2023.
面頁冊數:	xiii, 472 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	OCaml (Computer program language)
電子資源:	https://doi.org/10.1007/978-1-4842-8853-5
ISBN:	9781484288535$q(electronic bk.)

Architecture of advanced numerical analysis systemsdesigning a scientific computing system using OCaml /
Wang, Liang.

Architecture of advanced numerical analysis systemsdesigning a scientific computing system using OCaml /[electronic resource] :by Liang Wang, Jianxin Zhao. - Berkeley, CA :Apress :2023. - xiii, 472 p. :ill., digital ;24 cm.

Chapter 1: Introduction -- Chapter 2: Core Optimization -- Chapter 3: Algorithm Differentiation -- Chapter 4: Mathematical Optimization -- Chapter 5: Deep Neural Networks -- Chapter 6: Computation Graph -- Chapter 7: Performance Accelerators -- Chapter 8: Compiler Backends -- Chapter 9: Composition and Deployment -- Chapter 10: Distributed Computing -- Chapter 11: Testing Framework -- Appendix A: Basic Analytics Examples -- Appendix B: System Conventions -- Appendix C: Metric Systems and Constants -- Appendix D: AlgoDiff Module -- Appendix E: Neural Network Module -- Appendix F: Actor System for Distributed Computing -- Bibliography.

Open access.

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. You will: 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.

ISBN: 9781484288535$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-8853-5doiSubjects--Topical Terms:

921493
OCaml (Computer program language)

LC Class. No.: QA76.73.O117 / W36 2023

Dewey Class. No.: 005.117

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505 0 $a Chapter 1: Introduction -- Chapter 2: Core Optimization -- Chapter 3: Algorithm Differentiation -- Chapter 4: Mathematical Optimization -- Chapter 5: Deep Neural Networks -- Chapter 6: Computation Graph -- Chapter 7: Performance Accelerators -- Chapter 8: Compiler Backends -- Chapter 9: Composition and Deployment -- Chapter 10: Distributed Computing -- Chapter 11: Testing Framework -- Appendix A: Basic Analytics Examples -- Appendix B: System Conventions -- Appendix C: Metric Systems and Constants -- Appendix D: AlgoDiff Module -- Appendix E: Neural Network Module -- Appendix F: Actor System for Distributed Computing -- Bibliography.
506 $a Open access.
520 $a 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. You will: 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.
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