Publications

My self-archived publications are available on my Gitlab code repository. The papers I have authored or co-authored are listed below. Preprints can be found on my arXiv page.

20xx

Gregor Ulm, Emil Gustavsson, Mats Jirstrand. “OODIDA: On-board/Off-board Distributed Data Analytics for Connected Vehicles” (2018); arXiv preprint: https://arxiv.org/abs/1902.00319

Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand. “Contraction Clustering (RASTER): A Very Fast Big Data Algorithm for Sequential and Parallel Density-Based Clustering in Linear Time, Constant Memory, and a Single Pass” (2019); arXiv preprint: https://arxiv.org/abs/1907.03620

Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand. “Facilitating Rapid Prototyping in the OODIDA Data Analytics Platform via Active-Code Replacement” (2019); arXiv preprint: https://arxiv.org/abs/1903.09477

2019

Gregor Ulm, Emil Gustavsson, Mats Jirstrand. “Active-Code Replacement in the OODIDA Data Analytics Platform” (2019); Euro-Par 2019 (forthcoming)

Gregor Ulm, Emil Gustavsson, Mats Jirstrand. “Functional Federated Learning in Erlang (ffl–erl)” (2019);  WFLP 2018 (LNCS 11285); Springer: https://doi.org/10.1007/978-3-030-16202-3_10

2018

Adrian Nilsson, Simon Smith, Gregor Ulm, Emil Gustavsson, Mats Jirstrand. “A Performance Evaluation of Federated Learning Algorithms” (2018); DIDL 2018; ACM: https://doi.org/10.1145/3286490.3286559

Gregor Ulm, François Bellorini, David Brodrick, Ricardo Fernandes, Nick Levchenko, Daniel Piso. “PLC Factory: Automating Routine Tasks in Large-Scale PLC Software Development” (2018); ICALEPCS 2017; JACoW: https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA046

2017

Gregor Ulm, Emil Gustavsson, Mats Jirstrand. “Contraction Clustering (RASTER): A Big Data Algorithm for Density-Based Clustering in Constant Memory and Linear Time” (2017): MOD 2017 (LNCS 10710); Springer: https://doi.org/10.1007/978-3-319-72926-8_6