The CnC-Python system under development in the Habanero project at Rice University builds on past work on the Intel Concurrent Collections (CnC) and Habanero CnC projects. A short summary of the HC language is included below. Details on the underlying implementation technologies A short introduction to the Concurrent Collections model can be found in the Habanero publications web page. Further information is available as follows Introduction to Concurrent CollectionsInstallation instructionsfollowing article: - The Concurrent Collections Programming Model. Michael G. Burke, Kathleen Knobe, Ryan Newton, Vivek Sarkar. Technical Report TR 10-12, Department of Computer Science, Rice University, December 2010. To appear as a book chapter in Encyclopedia of Parallel Computing, David Padua (Ed.), Springer Verlag, 2011.
To get started with CnC-Python, see the startup instructions for the Rice SUG@R system, or the more general installation instructions. Once successfully installed, please refer to the following initial examples on how to write CnC-Python programs: Find Primes and Partition String. |