209 results on '"Tilmann Rabl"'
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2. A Three-Tier Buffer Manager Integrating CXL Device Memory for Database Systems.
3. Surprise Benchmarking: The Why, What, and How.
4. What We Can Learn from Persistent Memory for CXL.
5. RMG Sort: Radix-Partitioning-Based Multi-GPU Sorting.
6. Efficient Multi-Model Management.
7. Desis: Efficient Window Aggregation in Decentralized Networks.
8. Efficiently Managing Deep Learning Models in a Distributed Environment.
9. Evaluating In-Memory Hash Joins on Persistent Memory.
10. Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects.
11. Evaluating Multi-GPU Sorting with Modern Interconnects.
12. Rethinking Stateful Stream Processing with RDMA.
13. Materialization and Reuse Optimizations for Production Data Science Pipelines.
14. Evaluating SIMD Compiler-Intrinsics for Database Systems.
15. BabelMR: A Polyglot Framework for Serverless MapReduce.
16. Efficient Control Flow in Dataflow Systems: When Ease-of-Use Meets High Performance.
17. Drop It In Like It's Hot: An Analysis of Persistent Memory as a Drop-in Replacement for NVMe SSDs.
18. Maximizing Persistent Memory Bandwidth Utilization for OLAP Workloads.
19. Scale-down experiments on TPCx-HS.
20. A Survey of Big Data, High Performance Computing, and Machine Learning Benchmarks.
21. Disco: Efficient Distributed Window Aggregation.
22. Incremental stream query analytics.
23. Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects.
24. Optimizing Machine Learning Workloads in Collaborative Environments.
25. Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines.
26. Grizzly: Efficient Stream Processing Through Adaptive Query Compilation.
27. Darwin: Scale-In Stream Processing.
28. DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines.
29. Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines [Abstract].
30. On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing Engines.
31. An Overview of Hawk: A Hardware-Tailored Code Generator for the Heterogeneous Many Core Age.
32. Explanation of Air Pollution Using External Data Sources.
33. Continuous Deployment of Machine Learning Pipelines.
34. Efficient Window Aggregation with General Stream Slicing.
35. Muses: Distributed Data Migration System for Polystores.
36. Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs.
37. AStream: Ad-hoc Shared Stream Processing.
38. ADABench - Towards an Industry Standard Benchmark for Advanced Analytics.
39. Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing.
40. Scotty: Efficient Window Aggregation for Out-of-Order Stream Processing.
41. Analysis of TPCx-IoT: The First Industry Standard Benchmark for IoT Gateway Systems.
42. Benchmarking Distributed Stream Data Processing Systems.
43. Methods for Quantifying Energy Consumption in TPC-H.
44. Benchmarking Distributed Data Processing Systems for Machine Learning Workloads.
45. PolyBench: The First Benchmark for Polystores.
46. ScootR: Scaling R Dataframes on Dataflow Systems.
47. LogStore: A Workload-aware, Adaptable Key-Value Store on Hybrid Storage Systems (Extended abstract).
48. Gilbert: Declarative Sparse Linear Algebra on Massively Parallel Dataflow Systems.
49. I2: Interactive Real-Time Visualization for Streaming Data.
50. Benchmarking Data Flow Systems for Scalable Machine Learning.
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