Greetings,
H5CPP is a general purpose template-only data-store mechanism for scientist using LinearAlgebra packages such as EIGEN3, is backed by the HDF5Group.
In order to incorporate EIGEN3 I would like to know the best way to extract the following:
1) read/write pointer to data stored in memory: ie. my_matrix.data()
2) dimensions of the object ie: rows = my_matrix.nrows(); cols = my_matrix.ncols()
3) list of templates for DENSE types: Matrix<T>( ... params .. )
4) creating objects from external pointers without copying -- if supported
At this stage only DENSE storage is considered, leaving sparse and special structures to be implemented in a different phase.
The MIT licensed project may be found here:
http://h5cpp.ca and here:
https://github.com/steven-varga/h5cppthank you for your responses/suggestions in advance!
steve