PhD Thesis

My PhD thsis on "Engineering Aggregation Operators for Relational In-Memory Database Systems" was supervised by Prof. Dr. rer. nat. Peter Sanders and carried out with our industry partner SAP in the SAP HANA database department. My research interests in this project were:

Engineering core algorithms of in-memory database systems
Succinct data structures in in-memory database systems

Publications (until 2015)

Dissertation
Titel	Autor	Quelle
Engineering Aggregation Operators for Relational In-Memory Database Systems	Ingo Müller	Doctoral thesis, Fakultät für Informatik, Karlsruher Institut für Technologie, Germany, 2015.

Symposia/Conferences
Title	Author(s)	Conference
Vectorizing Database Column Scans with Complex Predicates	Thomas Willhalm, Ismail Oukid, Ingo Müller	Accelerating Data Management Systems Using Modern Processor and Storage Architectures (ADMS) – 2013
Communication Efficient Algorithms for Fundamental Big Data Problems	Peter Sanders, Sebastian Schlag, Ingo Müller	IEEE BigData Conference 2013
Retrieval and Perfect Hashing using Fingerprinting	Ingo Müller, Peter Sanders, Robert Schulze, Wei Zhou	Symposium on Experimental Algorithms (SEA) – 2014
Cache-Efficient Aggregation: Hashing Is Sorting	Ingo Müller, Peter Sanders, Arnaud Lacurie, Wolfgang Lehner, Franz Färber	International Conference on Management of Data (SIGMOD) – 2015
Adaptive String Dictionary Compression in In-Memory Column-Store Database Systems	Ingo Müller, Cornelius Ratsch, Franz Faerber	17th International Conference on Extending Database Technology (EDBT) – 2014

Journal Articles
Title	Author(s)	Source
The SAP HANA Database - An Architecture Overview	F. Färber, N. May, W. Lehner, P. Große, I. Müller, H. Rauhe, J. Dees	IEEE Data Engineering Bulletin, 35 (1): 28-33, 2012

Vorträge
Title	Conference	Author(s)	Speaker
ACM SIGMOD 2015 Programming Contest – Team SimpleMind	International Conference on Management of Data (SIGMOD) – 2015	Ismail Oukid, Ingo Müller, Iraklis Psaroudakis	Ingo Müller

Technical Reports
Title	Author(s)	Source
Communication Efficient Algorithms for Top-k Selection Problems	Lorenz Hübschle-Schneider, Peter Sanders, and Ingo Müller	arXiv:1502.03942

Diploma/master thesis

Experimental Method Provides Adaptation of Parallel Algorithms in OpenCL to Fit a Variety of Platforms Preserving Near-Optimal Performance

Diploma thesis (KIT) and master thesis 2010

Supervisors
Prof. Dr. Peter Sanders
Jean-Marc Vincent (UJF Grenoble)
Eric Michel (IBM France)
François Thomas (IBM France)
Neil Ashworth (IBM France)

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