Research output per year
Research output per year
Personal profile
Scientific Focus
My research interests include
- Quantum Computing
- Software and Frameworks
- High-Level Quantum Programming Languages inclusive Simulators und Optimizations
- Quantum Applications inclusive acceleration of data management tasks
- data management in the Cloud, P2P, Web and especially Semantic Web
- query processing and optimization
- visual query languages
- stream processing
- replication
- caching
- compression
- indexing
- parallel and distributed data processing
- logical testers
- satisfiability testers
- containment testers
- intersection testers
- modern hardware architectures like FPGA, Many-Core-CPU, GPU and Smart SSD
Research Areas and Centers
- Centers: Center for Artificial Intelligence Luebeck (ZKIL)
- Research Area: Intelligent Systems
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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Constructing Optimal Bushy Join Trees by Solving QUBO Problems on Quantum Hardware and Simulators.
Nayak, N., Rehfeld, J., Winker, T., Warnke, B., Çalikyilmaz, U. & Groppe, S., 2023, BiDEDE@SIGMOD. p. 7:1-7:7 7 p.Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
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Distributed SPARQL queries in collaboration with the routing protocol.
Warnke, B., Fischer, S. & Groppe, S., 2023, IDEAS. p. 99-106 8 p.Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
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Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text.
Khorashadizadeh, H., Mihindukulasooriya, N., Tiwari, S., Groppe, J. & Groppe, S., 2023, TEXT2KG/BiKE@ESWC. p. 132-153 22 p.Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
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GreenCC: A Hybrid Approach to Sustainably Validate Manufacturing Data in Industry 4.0 Environments.
Paasche, S. & Groppe, S., 2023, DATA. p. 621-628 8 p.Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
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Hybrid CPU/GPU/APU accelerated query, insert, update and erase operations in hash tables with string keys.
Groth, T., Groppe, S., Pionteck, T., Valdiek, F. & Koppehel, M., 2023, In: Knowl. Inf. Syst.. 65, 10, p. 4359-4377 19 p., 10.Research output: Journal Articles › Journal articles › Research › peer-review
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Hybrid^2-Indexstrukturen für Hauptspeicherdatenbanken
Groppe, S. & Pionteck, T.
01.01.19 → …
Project: DFG Funding
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BigSIoT: Big Data Management for the Semantic Internet of Things
01.01.19 → 31.12.23
Project: DFG Funding › DFG Individual Projects
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Hardwarebeschleunigung von Semantic Web Datenbanken durch dynamisch rekonfigurierbare FPGAs
Groppe, S. & Pionteck, T.
01.08.13 → 31.07.19
Project: DFG Funding
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Logisch und physikalisch optimierte Semantic Web Datenbank-Engine
Groppe, S. & Linnemann, V.
01.01.07 → 31.12.11
Project: DFG Funding