Big Data, Data Streaming, Distributed Data
The Distinguished Research Group led by Prof. Dr. Volker Markl addresses the human and technical latencies prevalent in the data analysis process. This entails simplifying the specification of data analysis programs via the automatic distribution, parallelization and hardware adaptation of data processing operations to reduce the human latency and thereby increase programmer productivity. This includes:
- devising intelligent data processing algorithms,
- exploiting novel advances in computer architecture (processing, network, storage),
- building efficient data management, data science, and machine learning technologies as well as systems, to reduce the technical latency and thereby increase execution efficiency and throughput.
Robin Van De Water, Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl
Farming Your ML-based Query Optimizer's Food
Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Loránd Madai-Tahy, Jorge-Arnulfo Quiané-Ruiz, Volker Markl
Efficient Control Flow in Dataflow Systems: When Ease-of-Use Meets High Performance
Alexander Kumaigorodski, Clemens Lutz, Volker Markl
Fast CSV Loading Using GPUs and RDMA for In-Memory Data Processing
Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects
Martin Kiefer, Ilias Poulakis, Sebastian Breß, Volker Markl
Scotch: generating FPGA-accelerators for sketching at line rate
VLDB honors NebulaStream demo
A perfect conclusion for the BIFOLD team at VLDB 2023 in Vancouver: The Nebula Stream team received an honorable mention for the best demo. In total, eleven researchers from the team of BIFOLD director Volker Markl participated in VLDB 2023 in Vancouver, one of the most important database conferences worldwide.
8 researchers represented BIFOLD at SIGMOD 2023
Eight members of the BIFOLD team took the chance to showcase their recent work at SIGMOD 2023 in Seattle through a diverse array of presentations, including research papers, workshop papers, and a demo paper – all of them underscoring the institute's commitment to cutting-edge research in the field of data management.
In Memoriam
It is with deep sadness and regret that we must acknowledge the sudden death of our former colleague and friend Jorge-Arnulfo Quiané-Ruiz. He is and will forever be sorely missed. Our thoughts and prayers are with his wife Zoi Kaoudi, his four children, and his loved ones.
Director
Doctoral Researcher
Doctoral Researcher
Doctoral Researcher
Doctoral Researcher
Management
Doctoral Researcher
Doctoral Researcher
Doctoral Researcher