parallel computing

A parallel preconditioning Schur complement approach for large scale industrial problems

The purpose of this paper is to introduce a new strategy to improve the convergence and efficiency of the class of domain decomposition known as Schur complement techniques related to interface variables for the simulation of mechanical, electrical and thermal problems in presence of cross points.  More precisely, we are interested not only in domain decomposition with two equal parts having the same physical properties but rather in more general splitting components.  It is known that in the first case, the optimal convergence with good pre-conditioner is obtained in t

Врахування особливостей графічного процесора в процесі створення засобів автоматичного розпаралелення програм

Встановлено проблемні аспекти виконання паралельних алгоритмів на графічному прискорювачі. На основі встановлених особливостей запропоновано алгоритм генерації програм для графічного процесора.

This paper describes the main problems in implementing parallel algorithms on graphics accelerators. Based on the established features proposed algorithm generating programs for the GPU.

The parallel algorithm for solving problems of elasticity

Domain decomposition algorithm for solving problems of elasticity based on parallel computing is considered. The global system of equations for the entire domain is not formed and is represented by local matrices and vectors for subdomains using Boolean matrices of connectivity. The system of linear equations is solved by modified conjugate gradient method. The algorithm is implemented with C ++ using parallel MPI library. The results of testing proposed approach for modeling example are included.

The Method of Measuring of the Energy Effectiveness of Calculations in Graphical Core

This paper proposes a method for measuring the energy efficiency of computing on CPU and GPU, which does not require specialized instrumentation. The results of the experiments carried out to the comparison of the calculation effectiveness on the CPU and GPU in terms of energy consumption.

Study of energy efficiency firm NVIDIA graphics accelerators

Energy consumption of calculations in CPU and GPU is considered in the article. The mathematical apparatus for calculating the share of energy efficiency and made a series of experiments that allow to compare the energy efficiency of CPU and GPU, as well as identify its dependence on a number of parameters of program implementation.

Особливості програмної реалізації розпаралелення процесу побудови дискретних динамічних моделей

Analysis of characteristics of software implementation of parallelization of process of constructing of discrete dynamical models was conducted in this paper. SIMD-architecture was used for the task of parallelization. Technology CUDA and GPU NVIDIA was used for this software implementation.