MapReduce is a programming model from Google that is designed for scalable data processing. Google's implementation is for scalability over many thousands of commodity machines, but there is value in using the idiom on multi-core processors to partition processing to efficiently use the CPU available, and avoid the complexities of multi-threaded development. I have a implemented a MapReduce runtime library in C++ using Boost and would like to see if there is interest from you all to submit the library to Boost. I have preliminary documentation on my website at http://www.craighenderson.co.uk/mapreduce/ Regards -- Craig Craig Henderson <http://craighenderson.co.uk/> http://www.craighenderson.co.uk http://www.siteupdatenotification.com