LEADER 04255nam 22006735 450 001 9910637747103321 005 20251008140534.0 010 $a9781484288535 010 $a148428853X 024 7 $a10.1007/978-1-4842-8853-5 035 $a(CKB)5840000000221162 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/96254 035 $a(MiAaPQ)EBC7164642 035 $a(Au-PeEL)EBL7164642 035 $a(OCoLC)1369652813 035 $a(DE-He213)978-1-4842-8853-5 035 $a(PPN)268211663 035 $a(Perlego)4513982 035 $a(ODN)ODN0010067056 035 $a(EXLCZ)995840000000221162 100 $a20221226d2023 u| 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArchitecture of Advanced Numerical Analysis Systems $eDesigning a Scientific Computing System using OCaml /$fby Liang Wang, Jianxin Zhao 205 $a1st ed. 2023. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2023. 215 $a1 electronic resource (472 p.) 311 08$a9781484288528 311 08$a1484288521 327 $aChapter 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. 330 $aThis 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. 606 $aProgramming languages (Electronic computers) 606 $aComputer science 606 $aArtificial intelligence$xData processing 606 $aProgramming Language 606 $aComputer Science 606 $aData Science 606 $aModels of Computation 615 0$aProgramming languages (Electronic computers) 615 0$aComputer science. 615 0$aArtificial intelligence$xData processing. 615 14$aProgramming Language. 615 24$aComputer Science. 615 24$aData Science. 615 24$aModels of Computation. 676 $a005.13 686 $aCOM000000$aCOM004000$aCOM014000$aCOM031000$2bisacsh 700 $aWang$b Liang$01071990 701 $aZhao$b Jianxin$01338925 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910637747103321 996 $aArchitecture of Advanced Numerical Analysis Systems$93059199 997 $aUNINA