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Abstract: Structured Adaptive Mesh Refinement (SAMR) simulation methods are attractive because they can increase computational efficiency dramatically. However, their irregular and less predictable computational and data structure makes them challenging to parallelize efficiently on large-scale parallel machines. We use the Illinois Concert C++ system (which supports dynamic, object-based parallelism) to build a flexible SAMR code for the Cosmology NSF Grand Challenge. The Concert System provides... (Update)
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BibTeX entry: (Update)
Bishwaroop Ganguly, Greg Bryan, Michael Norman, and Andrew Chien. Exploring structured adaptive mesh refinement (SAMR) methods with the Illinois Concert system. In Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, Minneapolis, Minnesota, March 1997. http://citeseer.ist.psu.edu/ganguly97exploring.html More
@misc{ ganguly97exploring,
author = "B. Ganguly and G. Bryan and M. Norman and A. Chien",
title = "Exploring structured adaptive mesh refinement",
text = "Bishwaroop Ganguly, Greg Bryan, Michael Norman, and Andrew Chien. Exploring
structured adaptive mesh refinement (SAMR) methods with the Illinois Concert
system. In Proceedings of the Eighth SIAM Conference on Parallel Processing
for Scientific Computing, Minneapolis, Minnesota, March 1997.",
year = "1997",
url = "citeseer.ist.psu.edu/ganguly97exploring.html" }
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