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)

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

Scotch: Generating FPGA-Accelerators for Sketching at Line Rate. - Martin Kiefer; Ilias Poulakis; Sebastian Breß; Volker Markl (Proc. VLDB Endow., 2020)

In the Land of Data Streams where Synopses are Missing, One Framework to Bring Them All. - Rudi Poepsel Lemaitre; Martin Kiefer; Joscha Von Hein; Jorge-Arnulfo Quiané-Ruiz; Volker Markl (Proc. VLDB Endow., 2021)

Optimistic Data Parallelism for FPGA-Accelerated Sketching. - Martin Kiefer; Ilias Poulakis; Eleni Tzirita Zacharatou; Volker Markl (Proc. VLDB Endow., 2023)

Accelerating approximate data analysis with parallel processors. - Martin Kiefer (2023)