A Bayesian Approach to Estimating the Selectivity of Conjunctive Predicates. - Max Heimel; Volker Markl; Keshava Murthy (BTW, 2009)

Massively Parallel Data Analysis with PACTs on Nephele. - Alexander Alexandrov 001; Dominic Battré; Stephan Ewen; Max Heimel; Fabian Hueske; Odej Kao; Volker Markl; Erik Nijkamp; Daniel Warneke (Proc. VLDB Endow., 2010)

MapReduce and PACT - Comparing Data Parallel Programming Models. - Alexander Alexandrov 001; Stephan Ewen; Max Heimel; Fabian Hueske; Odej Kao; Volker Markl; Erik Nijkamp; Daniel Warneke (BTW, 2011)

A First Step Towards GPU-assisted Query Optimization. - Max Heimel; Volker Markl (ADMS@VLDB, 2012)

Exploring the Design Space of a GPU-Aware Database Architecture. - Sebastian Breß; Max Heimel; Norbert Siegmund; Ladjel Bellatreche; Gunter Saake (ADBIS (2), 2013)

Designing a database system for modern processing architectures. - Max Heimel (SIGMOD/PODS Ph.D. Symposium, 2013)

Hardware-Oblivious Parallelism for In-Memory Column-Stores. - Max Heimel; Michael Saecker; Holger Pirk; Stefan Manegold; Volker Markl (Proc. VLDB Endow., 2013)

Toward Hardware-Sensitive Database Operations. - David Broneske; Sebastian Breß; Max Heimel; Gunter Saake (EDBT, 2014)

Demonstrating Self-Learning Algorithm Adaptivity in a Hardware-Oblivious Database Engine. - Max Heimel; Filip Haase; Martin Meinke; Sebastian Breß; Michael Saecker; Volker Markl (EDBT, 2014)

Demonstrating efficient query processing in heterogeneous environments. - Tomas Karnagel; Matthias Hille; Mario Ludwig; Dirk Habich; Wolfgang Lehner; Max Heimel; Volker Markl (SIGMOD Conference, 2014)

Load-aware inter-co-processor parallelism in database query processing. - Sebastian Breß; Norbert Siegmund; Max Heimel; Michael Saecker; Tobias Lauer; Ladjel Bellatreche; Gunter Saake (Data Knowl. Eng., 2014)

Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware. - Sebastian Breß; Max Heimel; Michael Saecker; Bastian Köcher; Volker Markl; Gunter Saake (Proc. VLDB Endow., 2014)

GPU-Accelerated Database Systems: Survey and Open Challenges. - Sebastian Breß; Max Heimel; Norbert Siegmund; Ladjel Bellatreche; Gunter Saake (Trans. Large Scale Data Knowl. Centered Syst., 2014)

Demonstrating Transfer-Efficient Sample Maintenance on Graphics Cards. - Max Heimel; Martin Kiefer; Volker Markl (EDBT, 2015)

Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation. - Max Heimel; Martin Kiefer; Volker Markl (SIGMOD Conference, 2015)

The Operator Variant Selection Problem on Heterogeneous Hardware. - Viktor Rosenfeld; Max Heimel; Christoph Viebig; Volker Markl (ADMS@VLDB, 2015)

Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models. - Martin Kiefer; Max Heimel; Sebastian Breß; Volker Markl (Proc. VLDB Endow., 2017)

Data processing on heterogeneous hardware. - Max Heimel (2018)

Data-driven Database Engineering at Snowflake. - Max Heimel (BTW, 2025)

Building a Data Management System for the Cloud: Lessons Learned and Future Directions. - Martin Hentschel 001; Jonathan Dees; Florian Funke 004; Max Heimel; Ismail Oukid (Datenbank-Spektrum, 2025)