39 results on '"Frank Dehne"'
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2. Autonomic Workload Change Classification and Prediction for Big Data Workloads.
3. Machine-Learning Based Spark and Hadoop Workload Classification Using Container Performance Patterns.
4. Insights into the suitability of utilizing brown rats (Rattus norvegicus) as a model for healing spinal cord injury with epidermal growth factor and fibroblast growth factor-II by predicting protein-protein interactions.
5. Positome: A method for improving protein-protein interaction quality and prediction accuracy.
6. Quantifying Eventual Consistency For Aggregate Queries.
7. VOLAP: A Scalable Distributed Real-Time OLAP System for High-Velocity Data.
8. VOLAP: A Scalable Distributed System for Real-Time OLAP with High Velocity Data.
9. Automatic, On-Line Tuning of YARN Container Memory and CPU Parameters.
10. The Hilbert PDC-tree: A High-Velocity Structure for Many-Dimensional Data.
11. Designing anti-Zika virus peptides derived from predicted human-Zika virus protein-protein interactions.
12. Taming a Tiger: software engineering in the era of big data & continuous development.
13. Engineering inhibitory proteins with InSiPS: the in-silico protein synthesizer.
14. New BSP/CGM algorithms for spanning trees.
15. Parallel Real-Time OLAP on Multi-core Processors.
16. Data science workshop: experience driven analytics.
17. Parallel data cubes on multi-core processors with multiple disks.
18. SpeeDB: fast structural protein searches.
19. Parallel Real-Time OLAP on Multi-Core Processors.
20. OLAP for moving object data.
21. Shortest Paths in Time-Dependent FIFO Networks.
22. Cooperative caching for grid-enabled OLAP.
23. Scalable and architecture independent parallel geometric algorithms with high probability optimal time.
24. A massively parallel knowledge-base server using a hypercube multiprocessor.
25. Randomized parallel list ranking for distributed memory multiprocessors.
26. Parallel Construction of Data Cubes on Multi-Core Multi-Disk Platforms.
27. NSF/IEEE-TCPP curriculum initiative on parallel and distributed computing: core topics for undergraduates.
28. Deterministic Sample Sort for GPUs.
29. Deterministic Sample Sort For GPUs
30. Exploring the Limits of GPUs With Parallel Graph Algorithms
31. Optical clustering on a mesh-connected computer.
32. Optimal visibility algorithms for binary images on the hypercube.
33. Parallel algorithms for multi-core and many-core processors.
34. Foreword.
35. Parallel branch and bound on fine-grained hypercube multiprocessors.
36. Pipelined search on coarse grained networks.
37. Algorithms and Data Structures - 14th International Symposium, WADS 2015, Victoria, BC, Canada, August 5-7, 2015. Proceedings
38. Algorithms and Data Structures - 13th International Symposium, WADS 2013, London, ON, Canada, August 12-14, 2013. Proceedings
39. Algorithms and Data Structures - 12th International Symposium, WADS 2011, New York, NY, USA, August 15-17, 2011. Proceedings
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