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Hama 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.

• Scientific simulation and modeling

  • Matrix-vector/matrix-matrix multiply

  • Soving linear systems

  • Collaborative filtering/recommendation systems

• Information retrieval

  • Sorting

  • Finding eigenvalues and eigenvectors

• Computer graphics and computational geometry

  • Matrix multiply

  • computing matrix determinate

News

• A meeting with Professor Choi J., a member of ScaLAPACK team - 2008/06/23

General Information

• Hama Homepage

• Hama Architecture -- Work in progress

• Hama DSL (Domain Specific Language) in Groovy -- Work in progress

• Hama Shell -- Work in progress

• Presentations and Articles about Hama

• Getting Started with Hama

• Hama Mailing Lists

• Hama IRC Channel

User Documentation

• Examples

  • Word Count Matrix -- Work in progress

• Tutorials with Hama

  • Traditional Collaborative Filtering -- Work in progress

Developer Documentation

• Roadmaps

  • Plans/Roadmap for Hama-0.1

• How to contribute

• Jira usage guidelines

• Becoming a developer

• How to commit