Jonas Dann - Personal Website

jonas.dann@inf.ethz.ch

I am a postdoctoral researcher in the Systems Group at ETH Zurich with Professor Gustavo Alonso. My research focuses on heterogeneous computing systems and hardware specialization for data science workloads. The mid-term goal of my research is to revisit the idea of the database machine, a specialized computer architecture for data management, in the modern context of cloud and AI.

I completed my Ph.D. in Computer Science summa cum laude at Heidelberg University in cooperation with the HANA Database Campus at SAP, advised by Professor Holger Fröning. My dissertation was on hardware specialization for non-relational database management systems. I earned my M.Sc. in Computer Science at Karlsruhe Institute of Technology in 2019 and my B.Sc. in Applied Computer Science in 2016 at DHBW Mannheim.

I am actively looking for tenure-track assistant professorships at the moment. If you are interested in working with me, please send me an email (jonas.dann@inf.ethz.ch).

Publications

GraphMatch: Subgraph Query Processing on Steroids.

Jonas Dann, Tobias Götz, Daniel Ritter, Jana Giceva, Holger Fröning. In SIGMOD, 2026.

Coyote v2: Raising the Level of Abstraction for Data Center FPGAs.

Benjamin Ramhorst, Dario Korolija, Maximilian Heer, Jonas Dann, Luhao Liu, Gustavo Alonso. In SOSP, 2025.

Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs.

Marko Kabic, Bowen Wu, Jonas Dann, Gustavo Alonso. In VLDB, 2025.

RoCE BALBOA: Service-enhanced Data Center RDMA for SmartNICs.

Maximilian Heer, Benjamin Ramhorst, Yu Zhu, Luhao Liu, Zhiyi Hu, Jonas Dann, Gustavo Alonso. Under Submission, 2025.

StreamDedup: Distributed In-line Deduplication for Disaggregated Storage

Jiayong Li, Jonas Dann, Zhenhao He, Gustavo Alonso, Sai Rahul Chalamalasetti, Dejan Milojicic, Lance Evans, Alex Veprinsky, Runbin Shi. Under Submission, 2025.

GraphScale: Scalable Processing on FPGAs for HBM and Large Graphs.

Jonas Dann, Daniel Ritter, Holger Fröning. TRETS, Volume 17, Issue 2, 2024.

Non-relational Databases on FPGAs: Survey, Design Decisions, Challenges.

Jonas Dann, Daniel Ritter, Holger Fröning. CSUR, Volume 55, Issue 11, 2023.

PipeJSON: Parsing JSON at Line Speed on FPGAs.

Jonas Dann, Royden Wagner, Daniel Ritter, Christian Färber, Holger Fröning. In DaMoN, 2022.

GraphScale: Scalable Bandwidth-Efficient Graph Processing on FPGAs.

Jonas Dann, Daniel Ritter, Holger Fröning. In FPL, 2022.

Demystifying Memory Access Patterns of FPGA-based Graph Processing Accelerators.

Jonas Dann, Daniel Ritter, Holger Fröning. In GRADES-NDA, 2021.

Exploring Memory Access Patterns for Graph Processing Accelerators.

Jonas Dann, Daniel Ritter, Holger Fröning. In BTW, 2021.