Yuri, Based on your brief description, we have already done this with bigmemory, and the ff package does something very similar but with emphasis on a wide range of atomic data types and data frame. Unless you are planning something different from what's been done before, you shouldn't waste valuable time on it. We (bigmemory) support shared memory and filebacked objects, and use the BOOST interprocess library to support all platforms. It's been a 2-3 year project with many unanticipated problems, but it's pretty stable and a good number of people seem to be using it at this point.
We'll be releasing a fairly major redesign this Fall, and would appreciate suggestions and feedback. Jay -- John W. Emerson (Jay) Associate Professor of Statistics Department of Statistics Yale University http://www.stat.yale.edu/~jay ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
