Want to know more about modules?
Find out more about modules and their contents.
Have a module of your own?
Contribute to the site by submitting your own module. Your submission will be reviewed by CS In Parallel to determine what categories it should be listed under. After that process, it will become available to all viewers of this site.
The Module Collection
Possible Course Useshowing only Intro to CS for majors Show all Possible Course Use
Results 1 - 3 of 3 matches
Map-reduce Computing for Introductory Students using WebMapReduce
Professor Richard Brown, St. Olaf College Professor Libby Shoop, Macalester College
This module emphasizes data-parallel problems and solutions, the so-called 'embarrassingly parallel' problems where processing of input data can easily be split among several parallel processes. Students use a web application called WebMapReduce (WMR) to write map and reduce functions that operate on portions of a massive dataset in parallel.
WMR Exemplar: UK Traffic Incidents
Using data published by the United Kingdom department of Transportation about traffic incidents, students can explore and perform analyses using map-reduce techniques.
Parallel Processes in Python
Steven Bogaerts, DePauw University
This module is designed for use in the latter half of a semester-long CS1 course. It introduces students to the concepts of forking child processes to do work in parallel and how multiple concurrent processes can coordinate using a shared data queue.