28 results on '"Philip E. Davis"'
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2. Optimizing Data Movement for GPU-Based In-Situ Workflow Using GPUDirect RDMA.
3. Benesh: a Framework for Choreographic Coordination of In Situ Workflows.
4. Streaming Data in HPC Workflows Using ADIOS.
5. Adaptive elasticity policies for staging-based in situ visualization.
6. Assembling Portable In-Situ Workflow from Heterogeneous Components using Data Reorganization.
7. The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science.
8. RISE: Reducing I/O Contention in Staging-based Extreme-Scale In-situ Workflows.
9. An Adaptive Elasticity Policy For Staging Based In-Situ Processing.
10. Facilitating Staging-based Unstructured Mesh Processing to Support Hybrid In-Situ Workflows.
11. Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2.
12. Adaptive Placement of Data Analysis Tasks For Staging Based In-Situ Processing.
13. Staging Based Task Execution for Data-driven, In-Situ Scientific Workflows.
14. Benesh: a Programming Model for Coupled Scientific Workflows.
15. Leveraging Machine Learning for Anticipatory Data Delivery in Extreme Scale In-situ Workflows.
16. Towards a Smart, Internet-Scale Cache Service for Data Intensive Scientific Applications.
17. Addressing data resiliency for staging based scientific workflows.
18. CoREC: Scalable and Resilient In-memory Data Staging for In-situ Workflows.
19. Scalable Data Resilience for In-memory Data Staging.
20. Coupling Exascale Multiphysics Applications: Methods and Lessons Learned.
21. Stacker: an autonomic data movement engine for extreme-scale data staging-based in-situ workflows.
22. Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2.
23. Exploring the Role of Machine Learning in Scientific Workflows: Opportunities and Challenges.
24. Scalable Parallelization of a Markov Coalescent Genealogy Sampler.
25. Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales.
26. Exploring Trade-offs in Dynamic Task Triggering for Loosely Coupled Scientific Workflows.
27. Using Intel Optane Devices for In-situ Data Staging in HPC Workflows.
28. ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management.
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