Scholar
Ulrich Meyer
Google Scholar ID: VUrYB2cAAAAJ
Professor of Algorithm Engineering, Goethe University Frankfurt
Citations & Impact
Citations
887
H-index
15
i10-index
19
Publications
20
Co-authors
32
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Received the ESA Test of Time Award 2019; set records in the JouleSort competition (2009/10), earning the Germany Land of Ideas Award; received a best-paper award at ESA 2019 for his work on fragile computing.
Research Experience
- He has been contributing to parallel and external-memory graph algorithms for many years and has recently focused on efficient large-scale network generation according to various stochastic models. Key results include the parallel Delta-Stepping algorithm (ESA Test of Time Award 2019) and the first BFS approach with sublinear I/O.
Background
- His research covers both theoretical and experimental aspects of processing large data sets on advanced models of computation. For example, he was the spokesperson of the DFG priority program (SPP 1736) on Algorithms for Big Data in Germany. His work focuses on parallel and external-memory graph algorithms and efficient large-scale network generation according to various stochastic models.
Miscellany
- He is a member of committees such as SEA23 (Symposium on Experimental Algorithms, SC Chair) and ALENEX23 (Algorithm Engineering and Experiments, PC Member).
