Hama (means a hippopotamus in Korean) is a distributed
matrix computation package currently in incubation with Apache. It is a library
of matrix operations for large-scale processing and development environments
as well as a Map/Reduce framework for a large-scale numerical analysis and data
mining, that need the intensive computation power of matrix inversion, e.g., linear
regression, PCA, SVM and etc. It will be useful for many scientific applications,
e.g., physics computations, linear algebra, computational fluid dynamics,
statistics, graphic rendering and many more.
- Scientific simulation and modeling
- Matrix-vector/matrix-matrix multiply
- Soving linear systems
- Scientific graphs
- Information retrieval
- Sorting
- Finding eigenvalues and eigenvectors
- Computer graphics and computational geometry
- Matrix multiply
- Computing matrix determinate
For more information about Hama, please see the Hama wiki.