Jonathan Decker

Jonathan is a scientific employee of the Georg-August-University of Göttingen and a PhD student of Julian Kunkel.
He takes the role of a system architect and is focused on designing systems that enable new and novel ways of utilizing Cloud and HPC resources, while also being efficient, secure and scalable. Most notably, he strives to combine HPC with Kubernetes.
ORCID: 0000-0002-7384-7304

• Kubernetes
• Serverless

• Practical „Practical course on High-Performance Computing“ (Contact: Dr. Julian Kunkel)
• Seminar „Newest Trends in High-Performance Data Analytics“ (Contact: Dr. Julian Kunkel)
• Seminar with Practical „Scalable Computing Systems and Applications in AI, Big Data and HPC“ (Contact: Dr. Julian Kunkel)

• Lecture „High-Performance Data Analytics“ (Contact: Dr. Julian Kunkel)
• Seminar „Newest Trends in High-Performance Data Analytics“ (Contact: Dr. Julian Kunkel)
• Seminar with Practical „Scalable Computing Systems and Applications in AI, Big Data and HPC“ (Contact: Dr. Julian Kunkel)
• Practical „High-Performance Computing System Administration“ (Contact: Dr. Julian Kunkel)

• Practical „Practical course on High-Performance Computing“ (Contact: Dr. Julian Kunkel)
• Seminar „Newest Trends in High-Performance Data Analytics“ (Contact: Dr. Julian Kunkel)
• Seminar with Practical „Scalable Computing Systems and Applications in AI, Big Data and HPC“ (Contact: Dr. Julian Kunkel)

• Seminar „Newest Trends in High-Performance Data Analytics“ (Contact: Dr. Julian Kunkel)
• Seminar with Practical „Scalable Computing Systems and Applications in AI, Big Data and HPC“ (Contact: Dr. Julian Kunkel)
• Practical „High-Performance Computing System Administration“ (Contact: Dr. Julian Kunkel)

• Practical „Practical course on High-Performance Computing“ (Contact: Dr. Julian Kunkel)
• Seminar „Newest Trends in High-Performance Data Analytics“ (Contact: Dr. Julian Kunkel)
• Seminar with Practical „Scalable Computing Systems and Applications in AI, Big Data and HPC“ (Contact: Dr. Julian Kunkel)

• Seminar „Newest Trends in High-Performance Data Analytics“ (Contact: Dr. Julian Kunkel)
• Seminar with Practical „Scalable Computing Systems and Applications in AI, Big Data and HPC“ (Contact: Dr. Julian Kunkel)
• Practical „High-Performance Computing System Administration“ (Contact: Dr. Julian Kunkel)

• Practical „Practical course on High-Performance Computing“ (Contact: Dr. Julian Kunkel)
• Seminar „Newest Trends in High-Performance Data Analytics“ (Contact: Dr. Julian Kunkel)

• The Potential of Serverless Kubernetes-Based FaaS Platforms for Scientific Computing Workloads, Jonathan Decker (Master's Thesis), Advisors: Dr. Julian Kunkel, 2022-01-31, BibTeX URL

• A Quantitative and Qualitative Comparison of Machine Learning Inference Frameworks (Egi Brako, Jonathan Decker, Julian Kunkel), pp. 7 to 13, SCALABILITY 2024, Valencia, Spain, ISBN: 978-1-68558-216-6, 2024-11-17 BibTeX URL
• Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services (Ali Doosthosseini, Jonathan Decker, Hendrik Nolte, Julian Kunkel) \myDOI{10.48550/arXiv.2407.00110}, 2024-08-02 BibTeX URL DOI

• DECICE: Device-Edge-Cloud Intelligent Collaboration Framework (Julian Kunkel, Christian Boehme, Jonathan Decker, Fabrizio Magugliani, Dirk Pleiter, Bastian Koller, Karthee Sivalingam, Sabri Pllana, Alexander Nikolov, Mujdat Soyturk, Christian Racca, Andrea Bartolini), ACM, Computing Frontiers, ISBN: 979-8-4007-0140-5/23/05 \myDOI{10.1145/3587135.3592179}, 2023-05-09 BibTeX DOI PDF

• Performance Evaluation of Open-Source Serverless Platforms for Kubernetes (Jonathan Decker, Piotr Kasprzak, Julian Kunkel), In Algorithms, MDPI, ISSN: 1999-4893 \myDOI{10.3390/a15070234}, 2022-06-02 BibTeX URL DOI PDF