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 processing in the cloud. I currently work on data processing SmartNICs for the cloud, hardware-software co-design for analytical query execution accelerators, and infrastructure for FPGAs.

I completed my Ph.D. in Computer Science with 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. If you are interested in working with me, please send me an email (jonas.dann@inf.ethz.ch).

Open Source Projects

Coyote [9] — github.com/fpgasystems/Coyote

The operating system for FPGAs providing high-level abstractions and portability.

Maximus [8] — https://gitlab.inf.ethz.ch/...

Heterogeneous analytical query engine that leverages CPUs, GPUs, and FPGAs.

libSTF — https://github.com/fpgasystems/libstf

Standard library for hardware design for streaming data processing on FPGAs.

Selected Publications

[14] SCENIC: Stream Computation-enhanced SmartNIC.

Benjamin Ramhorst, Maximilian Heer, Luhao Liu, Heejae Kim, Jonas Dann, Jin-Soo Kim, Gustavo Alonso. Under Submission, 2026.

[13] Should I Hide My Duck in the Lake?

Jonas Dann and Gustavo Alonso. In DaMoN, 2026.

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

Maximilian Heer, Benjamin Ramhorst, Yu Zhu, Luhao Liu, Zhiyi Hu, Jonas Dann, Gustavo Alonso. In OSDI, 2026.

[11] 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. TRETS, Volume 19, Issue 2, 2026.

[10] GraphMatch: Subgraph Query Processing on Steroids.

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

[9] 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.

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

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

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

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

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

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

[5] PipeJSON: Parsing JSON at Line Speed on FPGAs.

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