Quick Links
, “High Throughput Data Movement”, in Scientific Data Management: Challenges, Existing Technologies, and Deployment, CRC Press, 2009, pp. 151-180.
high throughput.pdf (1.04 MB)
high throughput.pdf (1.04 MB), “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), “In situ data processing for extreme-scale computing”, Scientific Discovery through Advanced Computing Program (SciDAC’11), 2011. 12. In situ data processing for extreme scale computing.pdf (728.26 KB)
12. In situ data processing for extreme scale computing.pdf (728.26 KB), “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), “Combining In-situ and In-transit Processing to Enable Extreme-Scale Scientific Analysis”, Proceedings of SC’12, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. ACM/IEEE, Salt Lake City, Utah, 2012. 24. Combining In-situ and In-transit Processing to Enable Extreme-Scale Scientific Analysis.pdf (2.37 MB)
24. Combining In-situ and In-transit Processing to Enable Extreme-Scale Scientific Analysis.pdf (2.37 MB), “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), “Mining Hidden Mixture Context With ADIOS-P To Improve Predictive Pre-fetcher Accuracy”, Proceedings of the Eighth International Conference on eScience (eScience 2012). IEEE, Chicago, IL, 2012. 26. Mining Hidden Mixture Context With ADIOS-P To Improve Predictive Pre-fetcher Accuracy.pdf (1.7 MB)
26. Mining Hidden Mixture Context With ADIOS-P To Improve Predictive Pre-fetcher Accuracy.pdf (1.7 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), “Exploring Power Behaviors and Tradeoffs of In-situ Data Analytics”, Proceedings of SC’13, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. AC/IEEE, Denver, CO, 2013. 17. Exploring Power Behaviors and Tradeoffs of In-situ Data Analytics.pdf (618.73 KB)
17. Exploring Power Behaviors and Tradeoffs of In-situ Data Analytics.pdf (618.73 KB), “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), “Leveraging Deep Memory Hierarchies for Data Staging in Coupled Data-Intensive Simulation Workflows”. 2014. 3. POSTER Leveraging Deep Memory Hierarchies for Data Staging in Coupled Data Intensive Simulation Workflows.pdf (174.46 KB)
3. POSTER Leveraging Deep Memory Hierarchies for Data Staging in Coupled Data Intensive Simulation Workflows.pdf (174.46 KB), “Scalable Run-time Data Indexing and Querying for Scientific Simulations”, Proceedings of the Fifth International Workshop on Big Data Analytics: Challenges, and Opportunities & SC’14, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. 2014.
Copyright ©2012, Rutgers, The State University of New Jersey, an equal opportunity, affirmative action institution.
Contact RU-info at 732-445-info (4636) | Ask Colonel Henry | Follow us on:
Contact RU-info at 732-445-info (4636) | Ask Colonel Henry | Follow us on:
Theme by Danetsoft and Danang Probo Sayekti inspired by Maksimer