@article{1452611,
      recid = {1452611},
      author = {Wang, Liang, and Zhao, Jianxin,},
      title = {Architecture of advanced numerical analysis systems :  designing a scientific computing system using OCaml /},
      pages = {1 online resource},
      abstract = {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.},
      url = {http://library.usi.edu/record/1452611},
      doi = {https://doi.org/10.1007/978-1-4842-8853-5},
}