Stefan Sprenger

Research Interests

• Data management on modern hardware
• (Multidimensional) indexing of (scientific) data
• Analysis of genomic data

Curriculum Vitae

• since 2015: PhD student, Computer Science, Humboldt-Universität zu Berlin, Knowledge Management in Bioinformatics
• 2012-2015: Master of Science, Computer Science, University of Applied Sciences Darmstadt
• 2008-2012: Bachelor of Science, Computer Science, University of Applied Sciences Darmstadt

Publications

• S. Sprenger, P. Schäfer, U. Leser: "BB-Tree: A practical and efficient main-memory index structure for multidimensional workloads", EDBT, 2019
• S. Sprenger, P. Schäfer, U. Leser: "BB-Tree: A practical and efficient main-memory index structure for multidimensional workloads" (Short Paper), ICDE, 2019
• S. Sprenger, P. Schäfer, U. Leser: "Multidimensional Range Queries on Modern Hardware", SSDBM, 2018 (preprint)
• S. Sprenger, S. Zeuch, U. Leser: "Exploiting automatic vectorization to employ SPMD on SIMD registers", HardBD@ICDE, 2018, (pdf)
• S. Sprenger, S. Zeuch, U. Leser: "Cache-Sensitive Skip List: Efficient Range Queries on modern CPUs", ADMS/IMDM@VLDB, 2016 (pdf, code)

Teaching

• Winter term 2016/17: Database operations on modern hardware (seminar)
• Winter term 2015/16: Distributed real-time analysis of genomic data (semester project)

Supervised theses

• Sascha Baese: "Skalierbare Indexierung humaner Mutationsprofile durch Inverted Files", Diploma thesis, 2016