Scalable Scientific Interactive Research Computing With Project Scinco

Interactive computing with Jupyter Notebooks has transformed the state of the art of scientific research computing. Users can perform a multitude of computational tasks in real time, including data cleansing, analysis, visualization, and postprocessing, with Jupyter Notebooks. Additionally, the abil...

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Bibliographic Details
Published in:Computing in science & engineering Vol. 25; no. 1; pp. 43 - 50
Main Authors: Stubbs, Joe, Jamthe, Anagha, Freeman, Nathan, Packard, Mike, Curbelo, Gilbert, Hammock, Cody
Format: Journal Article
Language:English
Published: New York IEEE 01.01.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Authentication
Codes
Computer architecture
Computer networks
Interactive systems
Logic gates
Mobile computing
Portable computers
Reproducibility
Research initiatives
Scientific computing
Servers
ISSN:1521-9615, 1558-366X
Online Access:Get full text
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Summary:Interactive computing with Jupyter Notebooks has transformed the state of the art of scientific research computing. Users can perform a multitude of computational tasks in real time, including data cleansing, analysis, visualization, and postprocessing, with Jupyter Notebooks. Additionally, the ability to write and execute code and include supporting text and images in the same document has made it popular for use in scholarly articles and teaching. These capabilities complement the batch computing services provided by high-performance computing centers exposed through traditional science gateways. However, integrating Jupyter into science gateways and other advanced computing ecosystems introduces new challenges related to scalability, collaboration, and reproducibility. In this article, we discuss the Scalable Interactive Computing (Scinco) project, an open source platform for scalable, reproducible, interactive scientific computing designed to be run in academic computing centers and incorporated into science gateways. We describe the prime features, architecture, deployment choices, and challenges of Project Scinco.
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ISSN:1521-9615
1558-366X
DOI:10.1109/MCSE.2023.3267679