Parallel Computing in the Computer Science Curriculum > Platform Resources > WebMapReduce

WebMapReduce

Contributed by Patrick Garrity, St. Olaf College '12 and Timothy Yates, St. Olaf College '12. Maintained by Stephen Lee '14.

WebMapReduce is a simple web-based user interface for creating and submitting Hadoop Map-Reduce jobs in practically any language. It is ideally suited for use in the introductory computer science classroom, requiring very little programming experience to write massively parallel programs.

PPP Characteristics

Languages Supported: Python, C++, Java, C, C#, Scheme
OS Compatibility: Windows, Mac OS, Linux
Physical Resource Support: Local Cluster, Remote Cluster, Cloud
Computational Model: Fully Distributed

Context of Use

WebMapReduce is utilized in the following modules:

Materials

Download WebMapReduce.

Please Note: It is recommended to read the Administration Guide, available from the documentation page at the WebMapReduce site, before downloading the interface; this will help guide you through the process of downloading and installing WebMapReduce on various physical resource configurations.

Resources

WebMapReduce home page
WebMapReduce documentation



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