Michael Kaufmann

Publication Activity (10 Years)

Years Active: 2017-2019
Publications (10 Years): 5

Top Topics

Resource Sharing

Machine Learning

Limited Resources

Top Venues

GI-Jahrestagung

Publications

Michael Kaufmann, Kornilios Kourtis, Adrian Schüpbach, Martina Zitterbart
Mira: Sharing Resources for Distributed Analytics at Small Timescales. GI-Jahrestagung (2019)
Michael Kaufmann, Kornilios Kourtis, Celestine Mendler-Dünner, Adrian Schüpbach, Thomas P. Parnell
Addressing Algorithmic Bottlenecks in Elastic Machine Learning with Chicle. CoRR (2019)
Michael Kaufmann, Kornilios Kourtis, Adrian Schüpbach, Martina Zitterbart
Mira: Sharing Resources for Distributed Analytics at Small Timescales. IEEE BigData (2018)
Michael Kaufmann, Thomas P. Parnell, Kornilios Kourtis
Elastic CoCoA: Scaling In to Improve Convergence. CoRR (2018)
Michael Kaufmann, Kornilios Kourtis
The HCl Scheduler: Going all-in on Heterogeneity. HotCloud (2017)