Andreas Kunft

Optimizing end-to-end machine learning pipelines for model training

Andreas Kunft, Andreas Kunft, 2019 .

An Intermediate Representation for Optimizing Machine Learning Pipelines

Tilmann Rabl, Volker Markl, Asterios Katsifodimos, 2019, Proc. VLDB Endow..

ScootR: Scaling R Dataframes on Dataflow Systems

Tilmann Rabl, Volker Markl, Daniele Bonetta, 2018, SoCC.

BlockJoin: Efficient Matrix Partitioning Through Joins

Tilmann Rabl, Volker Markl, Asterios Katsifodimos, 2017, Proc. VLDB Endow..

Implicit Parallelism through Deep Language Embedding

Volker Markl, Odej Kao, Alexander Alexandrov, 2015, SIGMOD Conference.

PEEL: A Framework for Benchmarking Distributed Systems and Algorithms

Tilmann Rabl, Volker Markl, Alexander Alexandrov, 2017, TPCTC.

Bridging the gap: towards optimization across linear and relational algebra

Volker Markl, Alexander Alexandrov, Asterios Katsifodimos, 2016, BeyondMR@SIGMOD.