Bishwaroop Ganguly

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Structured Adaptive Mesh Reenement (SAMR) simulation methods are attractive because they can increase computational eeciency dramatically. However, their irregular and less predictable computational and data structure makes them challenging to parallelize eeciently on large-scale parallel machines. We use the Illinois Concert C++ system (which supports(More)
We have used the Illinois Concert C++ system (which supports dynamic, object-based parallelism) to parallelize a exible adaptive mesh reenement code for the Cosmology NSF Grand Challenge. Out goal is to enable programmers of large-scale numerical applications to build complex applications with irregular structure using a high-level interface. The key(More)
Programmers of concurrent applications are faced with a complex performance space in which data distribution and concurrency management exacerbate the difficulty of building large, complex applications. To address these challenges , the Illinois Concert system provides a global names-pace, implicit concurrency control and granularity management , implicit(More)
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