English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Using Jupyter for Reproducible Scientific Workflows

Beg, M., Taka, J., Kluyver, T., Konovalov, A., Ragan-Kelley, M., Thiery, N., et al. (2021). Using Jupyter for Reproducible Scientific Workflows. Computing in Science & Engineering, 23(2), 36-46. doi:10.1109/MCSE.2021.3052101.

Item is

Files

show Files
hide Files
:
2102.09562.pdf (Preprint), 4MB
Name:
2102.09562.pdf
Description:
Downloaded from arxiv.org: 2021-03-09
OA-Status:
Not specified
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
2021
Copyright Info:
© the Author(s)
:
09325550.pdf (Publisher version), 4MB
 
File Permalink:
-
Name:
09325550.pdf
Description:
-
OA-Status:
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show
hide
Locator:
https://dx.doi.org/10.1109/MCSE.2021.3052101 (Publisher version)
Description:
-
OA-Status:
Not specified
Locator:
https://arxiv.org/abs/2102.09562 (Preprint)
Description:
-
OA-Status:
Not specified

Creators

show
hide
 Creators:
Beg, M.1, Author
Taka, J.2, Author
Kluyver, T.3, Author
Konovalov, A.4, Author
Ragan-Kelley, M.5, Author
Thiery, N.6, Author
Fangohr, H.7, Author           
Affiliations:
1Faculty of Engineering and Physical Sciences, University of Southampton, ou_persistent22              
2Logilab, ou_persistent22              
3European XFEL GmbH, ou_persistent22              
4School of Computer Science, University of St Andrews, ou_persistent22              
5Simula Research Laboratory AS, ou_persistent22              
6Laboratoire de Recherche en Informatique, Universite Paris-Saclay, ou_persistent22              
7Computational Science, Scientific Service Units, Max Planck Institute for the Structure and Dynamics of Matter, Max Planck Society, ou_3267028              

Content

show
hide
Free keywords: -
 Abstract: Literate computing has emerged as an important tool for computational studies and open science, with growing folklore of best practices. In this work, we report two case studies—one in computational magnetism and another in computational mathematics—where domain-specific software was exposed to the Jupyter environment. This enables high level control of simulations and computation, interactive exploration of computational results, batch processing on HPC resources, and reproducible workflow documentation in Jupyter notebooks. In the first study, Ubermag drives existing computational micromagnetics software through a domain-specific language embedded in Python. In the second study, a dedicated Jupyter kernel interfaces with the GAP system for computational discrete algebra and its dedicated programming language. In light of these case studies, we discuss the benefits of this approach, including progress toward more reproducible and reusable research results and outputs, notably through the use of infrastructure such as JupyterHub and Binder.

Details

show
hide
Language(s): eng - English
 Dates: 2021-01-152021-03
 Publication Status: Issued
 Pages: 11
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1109/MCSE.2021.3052101
arXiv: 2102.09562
 Degree: -

Event

show

Legal Case

show

Project information

show hide
Project name : -
Grant ID : 676541
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)
Project name : -
Grant ID : 823852
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)
Project name : This work was supported in part by the Horizon 2020 European Research Projects OpenDreamKit (676541) and PaNOSC (823852), and in part by the EPSRC Programme grant on Skyrmionics under Grant EP/N032128/1.
Grant ID : -
Funding program : -
Funding organization : -

Source 1

show
hide
Title: Computing in Science & Engineering
  Other : Comput. Sci. Eng.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: College Park, Md. : AIP
Pages: - Volume / Issue: 23 (2) Sequence Number: - Start / End Page: 36 - 46 Identifier: ISSN: 1521-9615
CoNE: https://pure.mpg.de/cone/journals/resource/954928593018