dc.contributor.author |
Norton, C. |
en_US |
dc.contributor.author |
Balsara, D. |
en_US |
dc.date.accessioned |
2004-09-24T16:45:45Z |
|
dc.date.available |
2004-09-24T16:45:45Z |
|
dc.date.issued |
1999-08-17 |
en_US |
dc.identifier.citation |
New Trends in HIgh Performance Computing |
en_US |
dc.identifier.citation |
Stony Brook, New York, USA |
en_US |
dc.identifier.clearanceno |
99-1468 |
en_US |
dc.identifier.uri |
http://hdl.handle.net/2014/18014 |
|
dc.description.abstract |
Parallel adaptive mesh refinement (AMR) is an important numerical technique that leads to the efficient solution of many physical and engineering problems. In this paper, we describe how AMR programing can be performed in an object-oreinted way using the modern aspects of Fortran 90 combined with the parallelization features of OpenMP. |
en_US |
dc.format.extent |
248487 bytes |
|
dc.format.mimetype |
application/pdf |
|
dc.language.iso |
en_US |
|
dc.subject.other |
supercomputing adaptive methods object oriented Fortran 90 OpenMP shared memory software |
en_US |
dc.title |
Innovative Language-Based & Object-Oriented Structured AMR Using Fortran 90 and OpenMP |
en_US |