Daily archives: April 24, 2020


Case study: The Importance of Open Source for Research in High-Performance Computing

This post is part of the OSSG series “the role of open source in the UK”, where we collect and publish statements from companies and individuals in the UK regarding their experience with Open Source Software. We welcome any submission to this series. If you are interested, please send an email to Dr Julian Kunkel.

by Dr Julian Kunkel, Lecturer, Department of Computer Science, University of Reading

Open source is vital in providing teaching, in conducting research in computer science, and in enabling reproducible large-scale experiments in computational science that support the society. In this post, Julian describes his experience with Open Source in his career.

The Relevance of Open Source: A Personal Statement

Open-source software is for me the key enabler for productive work and for providing training and research environments for various reasons. Firstly, in my own work environment, I rely upon Ubuntu as the operating system to give me the freedom to conduct research and programming experiments easily on my laptop that can later be scaled up to data-center wide experiments. 

Having full control over the system and easy means to repair a broken system, I haven’t lost any data in my 20-year usage of Linux albeit my work often requires to perform rigorous stress-testing of hardware components. I have high confidence and trust in the software stack due to the openness of the software stack. There are no hidden data transmission of private data and proper security schemes in place that protect my data and research. Another benefit I acknowledge is that key APIs are robust and software I rely on that has started to be developed 20 years ago can still be used.

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