語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Architecture of advanced numerical a...
~
Wang, Liang.
FindBook
Google Book
Amazon
博客來
Architecture of advanced numerical analysis systems = designing 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 systems/ by 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.
內容註:
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.
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
Architecture of advanced numerical analysis systems = designing a scientific computing system using OCaml /
Wang, Liang.
Architecture of advanced numerical analysis systems
designing 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
Standard No.: 10.1007/978-1-4842-8853-5doiSubjects--Topical Terms:
3597860
OCaml (Computer program language)
LC Class. No.: QA76.73.O117 / W36 2023
Dewey Class. No.: 005.117
Architecture of advanced numerical analysis systems = designing a scientific computing system using OCaml /
LDR
:03215nmm a2200337 a 4500
001
2315227
003
DE-He213
005
20221226143748.0
006
m d
007
cr nn 008mamaa
008
230902s2023 cau s 0 eng d
020
$a
9781484288535
$q
(electronic bk.)
020
$a
9781484288528
$q
(paper)
024
7
$a
10.1007/978-1-4842-8853-5
$2
doi
035
$a
978-1-4842-8853-5
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.73.O117
$b
W36 2023
072
7
$a
UMX
$2
bicssc
072
7
$a
COM000000
$2
bisacsh
072
7
$a
UMX
$2
thema
082
0 4
$a
005.117
$2
23
090
$a
QA76.73.O117
$b
W246 2023
100
1
$a
Wang, Liang.
$3
1531217
245
1 0
$a
Architecture of advanced numerical analysis systems
$h
[electronic resource] :
$b
designing a scientific computing system using OCaml /
$c
by Liang Wang, Jianxin Zhao.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2023.
300
$a
xiii, 472 p. :
$b
ill., digital ;
$c
24 cm.
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.
650
0
$a
OCaml (Computer program language)
$3
3597860
650
0
$a
Science
$x
Data processing.
$3
534323
650
0
$a
Numerical analysis
$x
Data processing.
$3
532594
650
1 4
$a
Programming Language.
$3
3538935
650
2 4
$a
Computer Science.
$3
626642
650
2 4
$a
Data Science.
$3
3538937
650
2 4
$a
Models of Computation.
$3
3592010
700
1
$a
Zhao, Jianxin.
$3
3430684
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-1-4842-8853-5
950
$a
Professional and Applied Computing (SpringerNature-12059)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9451477
電子資源
11.線上閱覽_V
電子書
EB QA76.73.O117 W36 2023
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入