Welcome to Hama project
Introduction
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.
Getting Started
- Getting Started with Hama
Recent News
- 20 May 2008 - Hama accepted to Apache Incubator Project.
The Incubator PMC have voted to accept Hama to be a apache incubator project. - 23 June 2008 - A meeting with Professor Choi J., a member of ScaLAPACK team.
- 18 August 2008 - Source code is now available in the Apache SVN repository.


