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Yousef Saad, Fellow

pARMS: Parallel Algebraic Recursive Multilevel Solvers

In the last few years, this research team has developed a package for parallel sparse matrix computations called parms (parallel Algebraic Recursive Multilevel Solver). The aim of the package is to provide a collection of iterative techniques for solving large, sparse, irregularly structured, linear systems of equations on parallel platforms. The package includes all of the preconditioning techniques available in its predecessor (psparslib) as well a new class of methods that are based on recursive algebraic multilevel techniques. The group recently issued a technical report to illustrate the performance of the package. The package is also now available to the public. The researchers will now continue to develop other domain decomposition-type preconditioning techniques, and they will use parms to solve realistic scientific and engineering problems.



Research Group and Collaborators

David Adams, Graduate Student Researcher
Russ Burdick, Graduate Student Researcher
James R. Chelikowsky, Faculty Collaborator
Kartik Gopal, Research Associate
Deepa Srishnamoorthy, Graduate Student Researcher
Leeor Kronik, Supercomputing Institute Research Scholar
Benjamin T. Langmead, Supercomputing Institute Undergraduate Intern
Na Li, Research Associate
Zhongze Li, Visiting Researcher
Yu Liang, Research Associate
Leigh J. Little, Research Associate
Ruinan Lu, Graduate Student Researcher
Jim McCombs, Research Associate
Anand Nagarajan, Graduate Student Researcher
Jean Roman, LaBRI, Talence, France
Shep Smithline, Adjunct Faculty
Laurent Smoch, Research Associate
Maria Sosonkina, Faculty Collaborator
Azzeddine Soulaimani, Departement de Genie Mecanique, École de Technologie Superiéure, Montreal, Quebec, Canada
Andreas Stathopoulos, Research Associate
Brian Suchomel, Research Associate

 

This information is available in alternative formats upon request by individuals with disabilities. Please send email to alt-format@msi.umn.edu or call 612-624-0528.
 

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