Teaching Map-reduce Parallel Computing in CS1
نویسندگان
چکیده
Cluster-based map-reduce programming frameworks such as Apache Hadoop make compelling pedagogical examples of parallel computing in undergraduate CS education. Although the basic notions of map-reduce computation are at an appropriate level for introductory CS students, directly programming Hadoop is too difficult for most beginning students. However, the strategically simplified WebMapReduce system makes map-reduce computation accessible for CS1 students, using the programming language they study for their course. Modular materials for teaching map-reduce computing with WebMapReduce are cited, and experience using them are discussed.
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