a circular plot from a vector which represents the temperature along the radius surface, which is the same for every radius
I have calculated the temperature of the section of a cylinder, which is subjected to a heat flow on its upper surface. Getting the temperature distribution in the 2D section. As shown in the ...
I've been having problems designing an effective caching mechanism. The mechanism is to be used as part of a project developing scientific software. The goal is to save computation time by loading ...
I've been doing FORTRAN programming for 10 years and I've started using python for a few years now, mostly for data processing. I've been lucky enough to work with people that are knowledgeable ...
If I want to use large array say mpz_t A, I got "Segmentation fault (core dumped)" during my compilation. Is there any easier way to solve this?
Many of the better-known C++ libraries in computational science such as Eigen, Trilinos, and deal.II use the standard C++ template header library object, ...
The C++ language provides generic programming and metaprogramming through templates. These techniques have found their way into many large-scale scientific computing packages (e.g., MPQC, LAMMPS, ...
Many computational scientists that I know of, including myself for example, are not computer scientists. As such they are often not very well aware more advanced techniques in OOP. On the other hand, ...
What would you say would be the advantages/disadvantages of two approaches to coding a general (finite volume, fem, dg) library for Computational Continuum Mechanics? This is how I see things right ...
I am looking for information from anyone that has tried to use OpenCL in their scientific code. Has anyone tried (recently) ViennaCL? If so, how does it compare to cusp? What about OCLTools? Does it ...
The OpenCL programming paradigm promises to be a royalty free opens standard for heterogenous computing. Should we invest our time in developing software based on OpenCL? Pros/cons?
I am strongly convinced of the value of using tests that verify a complete program (e.g. convergence tests), including an automated set of regression tests. After reading some programming books, I've ...
Developing scientific algorithms is a highly iterative process often involving changing lots of parameters that I will want to vary either as part of my experimental design or as part of tweaking ...
What programming paradigms should I be investing in if I want my code to run on petascale machines in the future?
It's pretty clear from a survey of the top500 that the industry is trending towards an exponential increase in processing cores. The largest supercomputers all use MPI for communication between ...