Hama (means a hippopotamus in Korean) is a parallel 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.
B. V, A. Unnikrishnan, and K. Balakrishnan. International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), 2 (2):
151-157(April 2012)
N. Tatti, T. Mielikainen, A. Gionis, and H. Mannila. Proceedings of the Sixth IEEE International Conference on Data Mining (ICDM 2006), page 603--612. IEEE, (December 2006)