Affiliation:
1. Sandia National Laboratories, Albuquerque, NM
Abstract
Anasazi is a package within the Trilinos software project that provides a framework for the iterative, numerical solution of large-scale eigenvalue problems. Anasazi is written in ANSI C++ and exploits modern software paradigms to enable the research and development of eigensolver algorithms. Furthermore, Anasazi provides implementations for some of the most recent eigensolver methods. The purpose of our article is to describe the design and development of the Anasazi framework. A performance comparison of Anasazi and the popular FORTRAN 77 code ARPACK is given.
Funder
U.S. Department of Energy
Publisher
Association for Computing Machinery (ACM)
Subject
Applied Mathematics,Software
Reference37 articles.
1. Trust-Region Methods on Riemannian Manifolds
2. Anderson E. Bai Z. Bischof C. Blackford S. Demmel J. Dongarra J. Croz J. D. Greenbaum A. Hammarling S. McKenney A. Ostrouchov S. and Sorensen D. 1999. LAPACK Users' Guide 3rd Ed. SIAM Philadelphia. Anderson E. Bai Z. Bischof C. Blackford S. Demmel J. Dongarra J. Croz J. D. Greenbaum A. Hammarling S. McKenney A. Ostrouchov S. and Sorensen D. 1999. LAPACK Users' Guide 3rd Ed. SIAM Philadelphia.
3. A comparison of eigensolvers for large-scale 3D modal analysis using AMG-preconditioned iterative methods
4. Baker C. G. Hetmaniuk U. Lehoucq R. B. and Thornquist H. K. Anasazi: Block eigensolver package documentation. http://trilinos.sandia.gov/trilinos/packages/anasazi/index.html. Baker C. G. Hetmaniuk U. Lehoucq R. B. and Thornquist H. K. Anasazi: Block eigensolver package documentation. http://trilinos.sandia.gov/trilinos/packages/anasazi/index.html.
5. Balay S. Buschelman K. Gropp W. D. Kaushik D. Knepley M. G. McInnes L. C. Smith B. F. and Zhang H. 2001. PETSc Web page. http://www.mcs.anl.gov/petsc. Balay S. Buschelman K. Gropp W. D. Kaushik D. Knepley M. G. McInnes L. C. Smith B. F. and Zhang H. 2001. PETSc Web page. http://www.mcs.anl.gov/petsc.
Cited by
62 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Superexchange coupling of donor qubits in silicon;Physical Review Applied;2024-01-22
2. Fast Spectral Graph Partitioning with a Randomized Eigensolver;2023 IEEE High Performance Extreme Computing Conference (HPEC);2023-09-25
3. Orthogonal Layers of Parallelism in Large-Scale Eigenvalue Computations;ACM Transactions on Parallel Computing;2023-09-22
4. Parallel Software for Million-scale Exact Kernel Regression;Proceedings of the 37th International Conference on Supercomputing;2023-06-21
5. Recovery of Distributed Iterative Solvers for Linear Systems Using Non-Volatile RAM;2022 IEEE/ACM 12th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS);2022-11