Prof. Dr. Jonas Posner

Professor in Computer Science (Operating Systems and Parallel Processing) at the Fulda University of Applied Sciences, Germany.

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Jonas Posner is a dedicated computer scientist specializing in High-Performance Computing (HPC). Since 2025, Jonas serves as Professor of Operating Systems and Parallel Processing at Fulda University of Applied Sciences, Germany. He received his Bachelor’s and Master’s degrees from the University of Kassel, Germany, where he also earned his Ph.D. in 2022. Afterward, he worked as a postdoctoral researcher and served as a substitute chair for the Software Engineering research group for one semester at the same university.

Jonas’ research interests include load balancing, fault tolerance, and resource adaptivity for Asynchronous Many-Task (AMT) systems. More recently, his work has focused on resource adaptivity more broadly, aiming to optimize the efficient use of supercomputing resources. His research spans a wide range of topics, including the development of advanced job-scheduling algorithms, improving programmability and performance of AMT systems, and studying the interaction between resource managers and applications.

My full Curriculum Vitae is available as a pdf here: Jonas Posner CV

News

Nov 15, 2026

Two papers published in the SC26 Workshops proceedings!

From a Last-Week Add-On to First-Day Practice: Three Years of Integrating MPI Performance Analysis into HPC Education with EduMPI Suite (EduHPC): 10.1109/SCW72768.2026.00190, slides: 10.5281/zenodo.24248845

Saving Energy Costs and Time on Supercomputers: Scheduler-Integrated Recurring Node Shutdown Exploiting Malleable Jobs (EESP): 10.1109/SCW72768.2026.00195

The SC26 Doctoral Showcase poster Near-Real-Time Performance Visualization of MPI Applications: Integrating Performance Analysis into HPC Education is also online: 10.5281/zenodo.23059850

Aug 31, 2026

New paper published! Performance Analysis in Parallel Programming Education: A Comparative Usability Study.

It is now available online at: https://dl.gi.de/handle/20.500.12116/48841

Aug 05, 2026

New paper published! Evaluating Malleable Job Scheduling in HPC Clusters using Real-World Workloads.

It is now available online at: 10.1007/978-3-032-24923-4_1

Jul 16, 2026

New paper published! Exploring Performance-Productivity Trade-offs in AMT Runtimes: A Task Bench Study of Itoyori, ItoyoriFBC, HPX, and MPI.

It is now available online at: 10.1007/978-3-032-27676-6_1

Jun 28, 2026

New paper published! An Empirical Analysis of High-Performance Computing Education in Germany.

It is now available online at: 10.1007/978-3-032-29918-5_32

Talks and research visits