Marcel Wagenländer

About

Since June 2021, I am a PhD student in the Large-Scale Data & Systems Group (LSDS) group at Imperial College London. Professor Peter Pietzuch supervises me. My research is in the area of Systems for Machine Learning. Specifically, I focus on large-scale distributed machine learning and currently, we exploring the impact of resource changes on DL training systems. In addition, I am working with Professor Mark van der Wilk on Gaussian Processes.

Before joining the LSDS group, I did my Bachelor of Science and Master of Science in Informatics at the Technical University of Munich.

Pre-prints

Tenplex: Changing Resources of Deep Learning Jobs using Parallelizable Tensor Collections

Marcel Wagenländer, Guo Li, Bo Zhao, Luo Mai, and Peter Pietzuch
arXiv

Recommendations for Baselines and Benchmarking Approximate Gaussian Processes

Sebastian W. Ober*, Artem Artemev*, Marcel Wagenländer*, Rudolfs Grobins, Mark van der Wilk
arXiv

Publications

KungFu: Making Training in Distributed Machine Learning Adaptive

Luo Mai, Guo Li, Marcel Wagenländer, Konstantinos Fertakis, Andrei-Octavian Brabete, and Peter Pietzuch
USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2020

Workshop publications

Spotnik: Designing Distributed Machine Learning for Transient Cloud Resources

Marcel Wagenländer, Luo Mai, Guo Li, and Peter Pietzuch
USENIX Workshop on Hot Topics in Cloud Computing (HotCloud), 2020