Jonathan Decker

Homepage ORCID 0000-0002-7384-7304
Jonathan is a scientific employee of the Georg-August-University of Göttingen and a postdoc researcher.
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.
In addition to conducting research in these topics, he handles university teaching activities.

• Kubernetes
• HPC
• System-of-Systems Design

• 2026, Springer Nature - International Journal of Networked and Distributed Computing
• 2026, Springer Nature - Journal of Grid Computing
• 2026, Springer Nature - Cluster Computing
• 2026, Springer Nature - Scientific Data
• 2025, Springer Nature - Journal of Supercomputing

• 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)

• 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)

• 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)

• 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)

• Achieving Scalable AI Inference in a Unified Cloud and HPC Environment by Employing System of Systems Architecture Design, Jonathan Decker (PhD Thesis), Advisors: Dr. Julian Kunkel, 2025-11-10, Thesis BibTeX URL
• 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

• Enabling Kubernetes Workload Execution on Rootless HPC Systems with KSI: A Slurm Integration Framework (Jonathan Decker, Mojtaba Akbari, Ali Doosthosseini, Sören Metje, Aasish Kumar Sharma, Julian Kunkel), In International Journal on Advances in Intelligent Systems (18), 2025-12 BibTeX URL
• Ephemeral Kubernetes: dynamically deleting and recreating clusters using Warewulf (Jonathan Decker, Julian Kunkel), In The Journal of Supercomputing (81), 2025-10-22 BibTeX URL DOI
• SAIA: A Seamless Slurm-Native Solution for HPC-Based Services (Ali Doosthosseini, Jonathan Decker, Hendrik Nolte, Julian Kunkel), In Research Square, 2025-07-29 BibTeX URL DOI
• Q8S: Emulation of Heterogeneous Kubernetes Clusters Using QEMU (Jonathan Decker, Vincent Florens Hasse, Julian Kunkel), In Algorithms, 2025-05-29 BibTeX URL DOI
• Running Kubernetes Workloads on Rootless HPC Systems Using Slurm (Jonathan Decker, Sören Metje, Julian Kunkel), In CLOUD COMPUTING 2025, 2025-04 BibTeX URL

• HPC-AI benchmarks - A comparative overview of high-performance computing hardware and AI benchmarks across domains (Narges Lux, Chirag Mandal, Jonathan Decker, Jannik Luboeinski, Julian Drewljau, Tino Meisel, Christian Tetzlaff, Christian Boehme, Julian Kunkel), In Journal of Artificial Intelligence and Robots (1), 2024-12-30 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), 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, 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, 2022-06-02 BibTeX URL DOI PDF

• MPG OHB KI Integration (Dr. Julian Kunkel, Jonathan Decker), , GWDG, 2026-03-03

• Automatic HPC-native Data Provenance, Maxim Barnstorf (Bachelor's Thesis), Advisors: Dr. Julian Kunkel, Jonathan Decker, 2026-05-26, Thesis BibTeX
• Vorstellung und Benchmarking einer neuartigen Inferenzplattform auf Basis von RISC-V-Hardware, Jonas Hafermas (Bachelor's Thesis), Advisors: Dr. Julian Kunkel, Jonathan Decker, 2026-04-30, Thesis BibTeX
• Einsatz von Large Language Models (LLMs) in der Bosch Private Cloud, Xinyue Gui (Bachelor's Thesis), Advisors: Dr. Julian Kunkel, Jonathan Decker, 2026-03-26, BibTeX