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Architecture of Advanced Numerical Analysis Systems - Designing a Scientific Computing System using OCaml (Paperback, 1st ed.)
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Architecture of Advanced Numerical Analysis Systems - Designing a Scientific Computing System using OCaml (Paperback, 1st ed.)
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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. 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.
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