Vector and parallel algorithms for chemical process simulation on supercomputers

Impressive gains in computer technology, including vector and parallel processing architectures, provide the computational power to realistically model, simulate, design, and optimize complex chemical processes. A critical computational step in large-scale chemical process simulation using rigorous equation-based models is the solution of a large sparse linear system of equations. Most of the currently used sparse solvers were developed for use on conventional serial machines and these do not take full advantage of the power of modern parallel-vector supercomputers.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Chemical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Mallya, Jayarama U.

Contributors dc:contributor

• Stadtherr, Mark A.

• Engineering, Chemical

Statement dc:rights

• Copyright 1996 Mallya, Jayarama U.

Language dc:language

eng

Identifier

9780591088670
AAI9702596
(UMI)AAI9702596

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/20121