A model for comparing memory strategies for large scale matrix in linear equation and one experimental case
- Resource Type
- Conference
- Authors
- Yang Zhenxiao; Zhou Haichang; Ba Zhixin
- Source
- Proceedings Fourth International Conference/Exhibition on High Performance Computing in the Asia-Pacific Region High performance computing in the Asia-Pacific region High Performance Computing in the Asia-Pacific Region, 2000. Proceedings. The Fourth International Conference/Exhibition on. 2:1034-1037 vol.2 2000
- Subject
- Computing and Processing
Large-scale systems
Sparse matrices
Differential equations
Testing
Symmetric matrices
High performance computing
Computer science
Numerical simulation
Vectors
Character generation
- Language
Suppose there is the linear equation Ax=b, where A is a large scale sparse matrix. In this article, we set up a model for testing efficiency of different memory strategies. And as an example, we compare several matrix storing methods in applying PCG methods to linear equations generated by "Numerical Simulation for Bridgman Method".