Welcome to CSinParallel
The shift to parallel computing—including multi-core computer architectures, cloud distributed computing, and general-purpose GPU programming—leads to fundamental changes in the design of software and systems. As a result, computer science (CS) students now need to learn parallel computing techniques that allow software to take advantage of the shift toward parallelism. To this end, CSinParallel (supported by a grant from NSF-TUES) provides a resource for CS educators to find, share, and discuss modular teaching materials that can be used at all levels of the CS curriculum.CSinParallel modules provide conceptual principles of parallelism and hands-on practice with parallel computing, in self-contained 1- to 3-day units that can be inserted in various CS courses in multiple curricular contexts. These modules offer an incremental approach to getting CS undergraduates the exposure to parallelism they will need as they begin their careers.
What We Provide
Here, one can find information and materials for integrating parallel computing in their computer science courses, including:
- Modules: Teaching materials and exercises for educators to present concepts and applications of parallel computing to students. These modules are shared and discussed among a community of Computer Science educators. Browse through the module collection, or contribute one of your own.
- Information about platform resources: We provide brief information and links to additional resources for hardware and software needed for using our modules in courses.
- The CSinParallel Blog: An avenue for discussing and keeping up to date with the latest developments in parallel computing.
July workshop: we are hosting a workshop on July 23-25 at Haverford College in Philadelphia, PA.
We have released the WebMapReduce (WMR) software package on sourceforge, which provides a web interface to Hadoop map-reduce computing that is simple enough for CS1 students to use yet powerful enough for data-intensive computing projects. We have teaching modules that use WMR in our collection.
This material is based on work supported by the National Science Foundation under Grant Nos. DUE-1226172/1225739/1225796 (and formerly DUE-0941962 and 0942190). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.