Share Email Print

Proceedings Paper

Parallel applications of the USNRC consolidated code
Author(s): Jun Gan; Thomas J. Downar; John H. Mahaffy; Jennifer L. Uhle
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The United States Nuclear Regulatory Commission has developed the thermal-hydraulic analysis code TRAC-M to consolidate the capabilities of its suite of reactor safety analysis codes. One of the requirements for the new consolidated code is that it supports parallel computations to extend code functionality and to improve execution speed. A flexible request driven Exterior Communication Interface (ECI) was developed at Penn State University for use with the consolidated code and has enabled distributed parallel computing. This paper reports the application of TRAC-M and the ECI at Purdue University to a series of practical nuclear reactor problems. The performance of the consolidated code is studied on a shared memory machine, DEC Alpha 8400, in which a Large Break Loss of Coolant Accident (LBLOCA) analysis is applied for the safety analysis of the new generation reactor, AP600. The problem demonstrates the importance of balancing the computational for practical applications. Other computational platforms are also examined, to include the implementation of Linux and Windows OS on multiprocessor PCs. In general, the parallel performance on UNIX and Linux platforms is found to be the most stable and efficient.

Paper Details

Date Published: 27 July 2001
PDF: 10 pages
Proc. SPIE 4528, Commercial Applications for High-Performance Computing, (27 July 2001); doi: 10.1117/12.434860
Show Author Affiliations
Jun Gan, Purdue Univ. (United States)
Thomas J. Downar, Purdue Univ. (United States)
John H. Mahaffy, The Pennsylvania State Univ. (United States)
Jennifer L. Uhle, U.S. Nuclear Regulatory Commission (United States)

Published in SPIE Proceedings Vol. 4528:
Commercial Applications for High-Performance Computing
Howard Jay Siegel, Editor(s)

© SPIE. Terms of Use
Back to Top