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dc.contributor.authorWang, Liang
dc.contributor.authorZhao, Jianxin
dc.date.accessioned2023-01-20T16:54:27Z
dc.date.available2023-01-20T16:54:27Z
dc.date.issued2023
dc.identifierONIX_20230120_9781484288535_37
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/60830
dc.description.abstractThis 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. What You Will Learn 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 Who This Book Is For Those with prior programming experience, especially with the OCaml programming language, or with scientific computing experience who may be new to OCaml. Most importantly, it is for those who are eager to understand not only how to use something, but also how it is built up.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technologyen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer scienceen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structuresen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligenceen_US
dc.subject.otherprogramming language
dc.subject.otherOCaml
dc.subject.otherscientific computing
dc.subject.othercomputational
dc.subject.otherdebugging
dc.subject.otheropen source
dc.subject.othersource
dc.subject.othercode
dc.subject.othernumerical
dc.subject.otherdata science
dc.subject.otherbig data
dc.subject.otherowl
dc.subject.otherfunctional
dc.subject.othermath
dc.subject.otherscientific
dc.subject.otherengineering
dc.titleArchitecture of Advanced Numerical Analysis Systems
dc.title.alternativeDesigning a Scientific Computing System using OCaml
dc.typebook
oapen.identifier.doi10.1007/978-1-4842-8853-5
oapen.relation.isPublishedBy6c6992af-b843-4f46-859c-f6e9998e40d5
oapen.relation.isFundedBy540a0270-1d16-4d8b-a318-33daed78f1e1
oapen.relation.isbn9781484288535
oapen.imprintApress
oapen.pages472
oapen.place.publicationBerkeley, CA
oapen.grant.number[...]


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