Sivaramakrishnan Narayanan
phone: (614) 688-3236
| mailing address |
Sivaramakrishnan Narayanan is a Ph.D. student in the Department of Computer Science and Engineering at The Ohio State University. He received his B.E. (hons) from Birla Institute of Technology and Science, Pilani, India in 2002.
Research
My research involves optimizing access to large scale scientific data on the grid and data-intensive computing and scheduling in parallel and distributed environments. I work as part of the STORM development team at BMI.
display all
Publications | click to hide (-) |
"On Creating Efficient Object-relational Views of Scientific Datasets", Proceedings of the 2006 International Conference on Parallel Processing (ICPP-06), : pp. 551-558, August, 2006. |
"Servicing Seismic and Oil Reservoir Simulation Data", September, 2005. |
"A Runtime Framework for Partial Replication and Its Application for On-Demand Data Exploration", Proceedings of the 2005 Spring Simulation Multiconference, March, 2005. |
display all
Presentations | click to hide (-) |
"Servicing Seismic and Oil Reservoir Simulation Data through Grid Data Services", in Proceedings of Very Large Databases (VLDB) Workshop on Data Management in Grids, Trondheim, Norway, 2005 |
"Strategies for Using Additional Resources in Parallel Hash-based Join Algorithms", in Proceedings of 13th IEEE International Symposium on High-Performance Distributed Computing (HPDC-13), Honolulu, HI, 2004 |
display all
Tech Reports | click to hide (-) |
"Support for Spatial Queries in Semantically Annotated Scientific Datasets", Technical Report, No. OSUBMI_TR_2007_n14, Biomedical Informatics, 2007. |
"DBOWL: Towards Extensional Queries on a Billion Statements using Relational Databases", Technical Report, No. OSUBMI_TR_2006_n03, Biomedical Informatics, 2006. |
"A Runtime Framework for Partial Replication and Its Application for On-Demand Data Exploration", Technical Report, No. OSUBMI_TR_2005_n04, Biomedical Informatics, 2005. |
display all
Abstracts | click to hide (-) |
"On Creating Efficient Object-Relational Views of Scientific Datasets", |
[edit this page]