BIFOLD, research into the scientific foundations of Big Data and Machine Learning
DAPHNE, open and extensible systems support for integrated data analysis pipelines that combine Data Management, High Performance Computing and Machine Learning
FONDA, methods for increasing productivity in the development, execution, and maintenance of Data Analysis Workflows
Research Projects
Alsatian: a framework to systematically speed up model search queries
InferDB: a framework for approximating end-to-end inference pipelines using indexes
Stork: a system for automated pipeline analysis, transformation, and data migration
MMlib: a library for managing deep learning models
Skyrise: a distributed, elastic query engine, built on serverless cloud infrastructure
Hyrise: a relational in-memory database system for lecturing and research
PerMA-Bench: a benchmark framework for persistent memory access
