Open Access
Peer-Reviewed
Original Research
Free Distribution Parallel Sparse Solvers. Application to Lambda Modes Equation
Abstract
This paper discusses how High Performance Computi ng can help to solve Engineering problems, where it is necessary to reduce the execution time spent in the solution of sparse linear systems. We have chosen three free-distribution numeri cal parallel libraries called PETSc (Portable, Extensible Toolkit for Scientific Computation) [Satish2001], pARMS (Parallel Algebr aic Recursive Multilevel Solver) [Saad2003], and one direct sparse solver named SuperLU [Demmel2003]. These libraries have been applied to a realistic test case of Nuclear Engineering where it is necessary to solve efficiently very-large sparse linear systems to study steady-state neutr on diffusion processes. Nume rical experiments have shown the effectiveness of using parallel and distributed computing.
Keywords
Parallel Computing
Krylov Subspace Methods
Very -Large Sparse Linear Systems
Lambda Modes Equation.
Declarations & Ethics
Funding:
This research received academic dissemination support through ESCAP / JournalsHub publishing programs.
Conflicts of Interest:
The authors declare no competing financial or institutional interests.
Peer Review:
Double-blind peer reviewed by international subject specialists.
License:
Creative Commons Attribution 4.0 International (CC BY 4.0).
How to Cite This Article
APA / MLA / BibTeX
Sánchez, et al. (2006). Free Distribution Parallel Sparse Solvers. Application to Lambda Modes Equation. IADIS International Journal on Computer Science and Information Systems, 1(2). https://doi.org/10.33965/ijcsis_2006_v1i2_07
Sánchez, et al. "Free Distribution Parallel Sparse Solvers. Application to Lambda Modes Equation." IADIS International Journal on Computer Science and Information Systems, vol. 1, no. 2, 2006. https://doi.org/10.33965/ijcsis_2006_v1i2_07
Sánchez, et al. "Free Distribution Parallel Sparse Solvers. Application to Lambda Modes Equation." IADIS International Journal on Computer Science and Information Systems 1, no. 2 (2006). https://doi.org/10.33965/ijcsis_2006_v1i2_07