Quick Links
, “Examples of In Transit Visualization”, Proceedings of the Workshop on Petascale Data Analytics: Challenges and Opportunities (PDAC-11), in conjunction with ACM/IEEE SC11 . Seattle, WA, USA, 2011.
35. Examples of In Transit Visualization.pdf (2.38 MB)
35. Examples of In Transit Visualization.pdf (2.38 MB), “Skel: Generative Software for Producing Skeletal I/O Applications”, Proceedings of the Workshop on D3Science, in conjunction with 7th IEEE International Conference on e-Science (e-Science 2011). Stockholm, Sweden, 2011. 34. Skel Generative Software for Producing Skeletal IO Applications.pdf (296.21 KB)
34. Skel Generative Software for Producing Skeletal IO Applications.pdf (296.21 KB), “Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform”, Proceedings of the 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2012). Shanghai, China, 2012. 32. Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform.pdf (2.1 MB)
32. Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform.pdf (2.1 MB), “A Scalable Messaging System for Accelerating Discovery from Large Scale Scientific Simulations”, Proceedings of 19th Annual International Conference on High Performance Computing (HiPC 2012). IEEE , Pune, India, 2012. 23 A Scalable Messaging System for Accelerating Discovery from Large Scale Scientific Simulations.pdf (633.71 KB)
23 A Scalable Messaging System for Accelerating Discovery from Large Scale Scientific Simulations.pdf (633.71 KB), “Understanding I/O Performance using I/O Skeletal Applications”, Proceedings of the Euro-Par 2012 Conference. Rhodes Island, Greece, 2012. 28. Understanding I O Performance Using I O Skeletal Applications.pdf (1.16 MB)
28. Understanding I O Performance Using I O Skeletal Applications.pdf (1.16 MB), “Using Cross-Layer Adaptations for Dynamic Data Management in Large Scale Coupled Scientific Workflows”, Proceedings of SC’13, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. AC/IEEE, Denver, CO, 2013. 18. Using Cross-Layer Adaptations for Dynamic Data Management in Large Scale Coupled Scientific Workflows.pdf (876.53 KB)
18. Using Cross-Layer Adaptations for Dynamic Data Management in Large Scale Coupled Scientific Workflows.pdf (876.53 KB), “Flexible I/O Programming API for Big Data Analytics”, Proceedings of the Fifth International Workshop on Big Data Analytics: Challenges, and Opportunities (BDAC-14) & SC’14, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. New Orleans, LA, 2014.
, “Hello ADIOS: The Challenges and Lessons of Developing Leadership Class I/O Frameworks”, Concurrency and Computation: Practice and Experience, vol. 26, pp. 1453–1473, 2014. 9. Hello ADIOS The Challenges and Lessons.pdf (1.53 MB)
9. Hello ADIOS The Challenges and Lessons.pdf (1.53 MB), “Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows”, Proceedings of the 29th IEEE International Parallel & Distributed Processing Symposium. Hyderabad, India, 2015.
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