On May 24, 2012, at 3:39 PM, Matthew Knepley wrote: > On Thu, May 24, 2012 at 4:16 PM, Jed Brown <jedbrown at mcs.anl.gov> wrote: > On Thu, May 24, 2012 at 3:10 PM, Barry Smith <bsmith at mcs.anl.gov> wrote: > Absolutely. And if it turns out to be too much of a pain to write and > maintain such a kernel there is something wrong with our programming model > and code development system. The right system should make all the complexity > fall away; when the complexity becomes too much of a bear you know you have > the wrong system. > > So do we manage blocks using internal C++ templates, "templates in C", C > generated using some other system (m4 anyone?), or something else entirely? > > Yes! Finally, we acknowledge that this a problem. > > 1) C++ templates are not a solution to anything. ANYTHING. > > 2) I am assuming "templates in C" would work somewhat like a templating > engine. > I tried this for the last TOMS paper with Andy. Its was just not a big > payoff for > the work put in, and definitely did not justify incorporating another > package. > > 3) I prefer C generated from another system, like the one I use for FEM > (which I am > not attached to). We will definitely need this for GPU kernels, and I am > guessing > thread kernels if they are going to be worth something. >
For this particular example (and perhaps many others for sparse matrices) it is a matter of writing "the same algorithm" for a different data structure (the split storage). Perhaps what is needed is a "sparse matrix/graph/mesh" language, for which one can write kernels/code fragments "independent of the data structure" from which C/whatever is generated? But I don't have a clue what the language would look like. I think a general purpose tool (for example templates) is unlikely to be useful for us. Barry > Matt > > -- > What most experimenters take for granted before they begin their experiments > is infinitely more interesting than any results to which their experiments > lead. > -- Norbert Wiener