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 17, 2025	New paper published! Stackless vs. Stackful Coroutines: A Comparative Study for RDMA-based Asynchronous Many-Task (AMT) Runtimes). It is now available online at: 10.1145/3731599.3767502 The slides of my talk are also online: 10.5281/zenodo.17625006
Nov 05, 2025	New paper published! Toward Dynamic Resource Management: An Asynchronous Many-Task (AMT) Runtime System leveraging Dynamic Processes with PSets (DPP). It is now available online at: 10.1007/s42979-025-04405-3
Oct 11, 2025	Since October 2025, I have been serving as Professor of Operating Systems and Parallel Processing at the Fulda University of Applied Sciences, Germany.
Oct 03, 2025	New paper published! Dynamic Resource Management: Comparison of Asynchronous Many-Task (AMT) and Dynamic Processes with PSets (DPP). It is now available online at: 10.1007/978-3-031-97196-9_2
Sep 25, 2025	Yesterday, I had the pleasure of delivering a presentation at the CARLA conference in Kingston, Jamaica, on our latest paper, Evaluating Malleable Job Scheduling in HPC Clusters Using Real-World Workloads. The slides are now available online at: 10.5281/zenodo.17202606