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Title: Partitioning and Dynamic Load Balancing for Petascale Applications.

Abstract

Abstract not provided.

Authors:
; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1148162
Report Number(s):
SAND2007-4077C
522589
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the SciDAC07 Conference held June 25-29, 2007 in Boston, MA.
Country of Publication:
United States
Language:
English

Citation Formats

Devine, Karen Dragon, Boman, Erik G., Riesen, Lee Ann, and Catalyurek, Umit. Partitioning and Dynamic Load Balancing for Petascale Applications.. United States: N. p., 2007. Web.
Devine, Karen Dragon, Boman, Erik G., Riesen, Lee Ann, & Catalyurek, Umit. Partitioning and Dynamic Load Balancing for Petascale Applications.. United States.
Devine, Karen Dragon, Boman, Erik G., Riesen, Lee Ann, and Catalyurek, Umit. Fri . "Partitioning and Dynamic Load Balancing for Petascale Applications.". United States. doi:. https://www.osti.gov/servlets/purl/1148162.
@article{osti_1148162,
title = {Partitioning and Dynamic Load Balancing for Petascale Applications.},
author = {Devine, Karen Dragon and Boman, Erik G. and Riesen, Lee Ann and Catalyurek, Umit},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jun 01 00:00:00 EDT 2007},
month = {Fri Jun 01 00:00:00 EDT 2007}
}

Conference:
Other availability
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  • One class of scientific and engineering applications involves structured meshes. One example of a code in this class is a flame modelling code developed at the Naval Research Laboratory (NRL). The numerical model used in the NRL flame code is predominantly based on structured finite volume methods. The chemistry process of the reactive flow is modeled by a system of ordinary differential equations which is solved independently at each grid point. Thus, though the model uses a mesh structure, the workload at each grid point can vary considerably. It is this feature that requires the use of both structured andmore » unstructured methods in the same code. We have applied the Multiblock PARTI and CHAOS runtime support libraries to parallelize the NRL flame code with minimal changes to the sequential code. We have also developed parallel algorithms to carry out dynamic load balancing. It has been observed that the overall performance scales reasonably up to 256 Paragon processors and that the total runtime on a 256-node Paragon is about half that of a single processor Cray C90.« less