Parallel Scientific Computing in C++ and MPI by George Em Karniadakis, Robert M. Kirby II

Parallel Scientific Computing in C++ and MPI George Em Karniadakis, Robert M. Kirby II ebook
Format: pdf
Page: 0
ISBN: 9781107485853
Publisher: Cambridge University Press

That provide a higher level of abstraction and, thus, a lower learning barrier, but, none of these were developed with HPC (mainly parallel computing) in mind. Matlab, Octave, R, SciPy, NumPy etc. Dec 6, 2012 - In HPC however, programming is still largely done in FORTRAN and C/C++ with MPI and/or OpenMP. Dec 23, 2013 - There has been a lot of discussion on-line recently about languages for data analysis, statistical computing, and data science more generally. Apr 12, 2014 - GO Parallel Scientific Computing in C++ and MPI: A Seamless Approach to Parallel Algorithms and their ImplementationAuthor: George Em Karniadakis, Robert M. Mar 29, 2014 - Computer Science > Mathematical Software one viable solution to the problem of creating independent random number streams for simulations in parallel processing environments. Comments: This paper has been accepted by Computational Statistics and is currently in press. Techniques are presented for effectively using RngStreams with C++ programs that are parallelized via OpenMP or MPI. Sep 12, 2013 - A good degree from a leading university in an engineering or computer science related discipline. Subjects: Mathematical Software (cs.MS); Computation (stat.CO). Programs must now be expressed in parallel which creates a huge learning barrier for many scientists and engineers. Experience with parallel programming, especially data-parallel using MPI, OpenMP, OpenACC or CUDA C/C++/Fortran.