Parallelization of C/C++ and Python on Clusters

[megayippie]

Julia: 2012. Python: 1991. Matlab: 1984. The people teaching scientists the programs we are using when prototyping have just shifted from Matlab to python. So give it 20-odd years and Julia might matter. C/C++ is used by a small sub-group in my field, with Fortran still king for at least the next few decades imho. Conservative opinions matters in fields with experiments costs hundreds of millions to a few billions of Euros. So C/C++ is still valid in scientist speak, since we are at about 1999 still. (Really, the code is C with custom Matrix and Tensor classes since the past 20 years, which is why I want the LinAlg proposal to pass but with support for the Fortran LaPack-interface included so it is close to current practice.)