C++ · MPI · parallel computing

MPL – A message passing library

The Message Passing Interface (MPI) Standard defines a message passing library, which serves as the basis for many high-performance computing applications today. It provides portable scalable functions for data exchange in parallel computations for various parallel computing architectures. Originally application programing interfaces had been defined for C and Fortran as well as for C++. In… Continue reading MPL – A message passing library


C++11/14 for scientific computing V

$\boldsymbol{\lambda}$ functions Anonymous functions, often called $\lambda$ functions, are a common feature of scientific programming languages, e.g., Maple and Matlab. They are particularly useful when functions are employed, which take other functions as arguments.  For example, a numerical root finding algorithm requires to specify a function as an input parameter. C++11 introduces $\lambda$ functions to… Continue reading C++11/14 for scientific computing V


C++11/14 for scientific computing IV

Random numbers C++98 inherited from C the standard functions rand and srand and the macro RAND_MAX for generating pseudo-random numbers. These functions suffer several problems. For example, it has been never specified which algorithm is used in rand to produce pseudo-random numbers. Thus, in C and in C++98 the outcome of a Monte Carlo simulation… Continue reading C++11/14 for scientific computing IV


C++11/14 for scientific computing III

Mathematical functions C++11/14 introduces several new mathematical functions, which are all overloaded for the types float, double and long double and that are defined in the header file cmath. The following table summerizes the new functions. Basic operations remainder signed remainder of the division operation remquo signed remainder as well as the three last bits… Continue reading C++11/14 for scientific computing III


C++11/14 for scientific computing II

Complex numbers The template class std::complex and functions for complex numbers (defined in the header file complex) have been extended in C++11/14. The new function std::proj returns the projection of the complex number $z$ onto the Riemann sphere. The functions std::asin, std::acos and std::atan calculate the inverse of the sine, cosine and tangent for complex… Continue reading C++11/14 for scientific computing II


New TRNG release

A new version of TRNG (Tina’s Random Number Generator Library) has been released. TRNG may be utilized in sequential as well as in parallel Monte Carlo simulations. It does not depend on a specific parallelization technique, e.g., POSIX threads, MPI and others. The new version 4.17 is a bug fix and maintenance release.

GPU computing · MPI · parallel computing · Performance

CUDA-aware MPI

CUDA and MPI provide two different APIs for parallel programming that target very different parallel architectures. While CUDA allows to utilize parallel graphics hardware for general purpose computing, MPI is usually employed to write parallel programs that run on large SMP systems or on cluster computers. In order to improve a cluster’s overall computational capabilities… Continue reading CUDA-aware MPI