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Horde is a general programming framework for writing parallel applications in clusters. A computing task is modeled as a graph in Horde. Each sub-task maps to one vertex and data channels map to edges in the graph. Programming with Horde is very simple by writing sequential code for vertexes and adding edges to link vertexes. Horde can tolerant transient fault and provide support to write code for toleranting permanent faults. Horde is portable and support various cluster job managers. We evaluate Horde's efficiency in communication through micro benchmarks and prove the easy-of-use of Horde by implementing a MapReuce engine. The test in a small scale cluster show that our implementation outperforms Hadoop.