MURAL - Maynooth University Research Archive Library



    DiffSharp: An AD Library for .NET Languages


    Baydin, Atilim Gunes and Pearlmutter, Barak A. and Siskind, Jeffrey Mark (2016) DiffSharp: An AD Library for .NET Languages. In: AD 2016 Conference: 7th International Conference on Algorithmic Differentiation, September 12-15, 2016, Oxford, U.K..

    [img]
    Preview
    Download (125kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    DiffSharp is an algorithmic differentiation or automatic differentiation (AD) library for the .NET ecosystem, which is targeted by the C# and F# languages, among others. The library has been designed with machine learning applications in mind, allowing very succinct implementations of models and optimization routines. DiffSharp is implemented in F# and exposes forward and reverse AD operators as general nestable higher-order functions, usable by any .NET language. It provides high-performance linear algebra primitives---scalars, vectors, and matrices, with a generalization to tensors underway---that are fully supported by all the AD operators, and which use a BLAS/LAPACK backend via the highly optimized OpenBLAS library. DiffSharp currently uses operator overloading, but we are developing a transformation-based version of the library using F#'s "code quotation" metaprogramming facility. Work on a CUDA-based GPU backend is also underway.

    Item Type: Conference or Workshop Item (Paper)
    Additional Information: Extended abstract presented at the AD 2016 Conference, Sep 2016, Oxford UK. Cite as: arXiv:1611.03423 [cs.MS]
    Keywords: DiffSharp; algorithmic differentiation; automatic differentiation (AD);
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 8114
    Depositing User: Barak Pearlmutter
    Date Deposited: 03 Apr 2017 15:38
    Refereed: Yes
    Funders: Science Foundation Ireland (SFI)
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year