They propose to develop a number of parallel algorithms for the new multicluster CEDAR computer. The research will cover algorithms and methods that are used in important areas in scientific computing. The parallel algorithms will not only be targeted for the CEDAR computer architecture but also for other shared memory multiprocessor computers possessing hierarchical memories. The topics to be covered are: (i) solution of general large sparse systems of linear and nonlinear equations; (ii) solution of large sparse eigenvalue problems; and (iii) rapid elliptic solvers.

Agency
National Science Foundation (NSF)
Institute
Division of Computer and Communication Foundations (CCF)
Application #
8717942
Program Officer
S. Kamal Abdali
Project Start
Project End
Budget Start
1988-04-15
Budget End
1991-09-30
Support Year
Fiscal Year
1987
Total Cost
$341,145
Indirect Cost
Name
University of Illinois Urbana-Champaign
Department
Type
DUNS #
City
Champaign
State
IL
Country
United States
Zip Code
61820