@inproceedings{d8ec2bc954334e47a99d84c69d2e3b69,
title = "Experiments with wide area data coupling using the seine coupling framework",
abstract = "Emerging scientific and engineering simulations often require the coupling of multiple physics models and associated parallel codes that execute independently and in a distributed manner. Realizing these simulations in distributed environments presents several challenges. This paper describes experiences with wide-area coupling for a coupled fusion simulation using the Seine coupling framework. Seine provides a dynamic geometry-based virtual shared space abstraction and supports flexible, efficient and scalable coupling, data redistribution and data streaming. The design and implementation of the coupled fusion simulation using Seine, and an evaluation of its performance and overheads in a wide-area environment are presented.",
author = "Li Zhang and Manish Parashar and Scott Klasky",
year = "2006",
doi = "10.1007/11945918_26",
language = "English",
isbn = "354068039X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "229--241",
booktitle = "High Performance Computing - HiPC 2006 - 13th International Conference Proceedings",
note = "13th International Conference on High Performance Computing, HiPC 2006 ; Conference date: 18-12-2006 Through 21-12-2006",
}