Parallel Scientific Computing in C++ and MPI. Provide with this book a software suite containing all the functions and programs. Message Passing Interface. 6nzsimilar making hard decisions with decision tools suite update editionsimilar. Parallel scientific computing in c and mpi a seamless approach to parallel.

I don't think that your professor's answer is serving you well even if it is correct. In my experience as a consultant for scientific computing and data systems C is certainly used a lot, but so are Fortran and C++. Python is by far the most commonly used scripting language. I think that this is going to change. Horror Sound Effects Pack. The big deal now is parallel computing and this is painful (MPI anyone?) in the traditional languages I've mentioned.

My speculation is that a lot of the parallelization will (and should) be moved to virtual machines: Java or.NET; i.e., I think that parallelization should be the JIT's job. Whether that will be enabled with, say,, or one one of the traditional languages, I don't know. Intel is pushing for C/C++, but I wonder if something like Terracotta might better in the long run (I haven't heard of anyone in the scientific community who's tried it---big finance has, but they are not so open). If the question is what should you learn to get a job in scientific computing, then the first thing I'd say is that you're more likely to get hired for your scientific skills than your programming skills (which partially explains the sorry state of a lot of scientific code, for more on this see ). If you are going to be hired for your programming skills (probably HPC), then consider that in the opinion of this professor, those may be obsolete for newer projects in the not-so-distant future.

It wouldn't hurt to know some Python, though, including. A lot of 'scientific computing' is handled in Mathematica, Matlab and other similar tools. Under the hood, Matlab is written in C or C++, I think, but many parts of Mathematica are written in Mathematica itself. To be sure, for historical reasons, and also because C's intrinsic characteristics, many scientific and hi-tech computing software libraries and such are written in C/C++. Dude Windows 7 32 Bit Professional here. I suspect C/C++ will continue to enjoy a favorable edge for many real-time and high performance applications, maybe not so much for the raw computing itself (which can not be expressed in higher level languages), but for local optimization of tight loops, and for interfacing with various components, be they physical pieces of equipement, or software elements such as for example parallel computing frameworks. As dmckee pointed out, the study of c provides a good foundation for programming at large, at least procedural programming.