Abstract: We consider some technical problems dealing with numerical implementation of explicit methods for computers with multiprocessing architecture. We give few examples written in Fortran and using the MPI library. We also consider problems of processes blocking, increasing of productivity (including processes balancing) and debugging. We believe that these tricks and fragments of the code will be useful for numerical implementation of parallel programs for various problems.Note: Research direction:Programming, parallel computing, multimedi
The article describes various options for speeding up calculations on computer systems. These featur...
Since most partial differential equations (PDEs) do not have exact solutions, they are usually solve...
Abstract: This article is dedicated to the Debugger for the parallel programs on the NORMA...
112 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1993.Numerical applications requir...
Problem statement. The use of programming technologies on modern multicore systems is an integral pa...
Computational Mathematics: Models, Methods, and Analysis with MATLAB and MPI explores and illustrate...
iii Numerical applications require large amounts of computing power. Although shared memory multipro...
Abstract: Some approaches to choosing parallel features for computing systems are discusse...
In this thesis the design of parallel numerical algorithms is investigated under the framework of th...
This book provides a seamless approach to numerical algorithms, modern programming techniques, and p...
This book systematically classifies the mathematical formalisms of computational models that are req...
Methods for the parallelization of complex software systems in scientific computing have been develo...
Scientific computing is by its very nature a practical subject- it requires tools and a lot of pract...
High Performance Fortran (HPF) has emerged as a standard dialect of Fortran for data-parallel comput...
International audienceScientific computing has become an indispensable tool in numerous fields, such...
The article describes various options for speeding up calculations on computer systems. These featur...
Since most partial differential equations (PDEs) do not have exact solutions, they are usually solve...
Abstract: This article is dedicated to the Debugger for the parallel programs on the NORMA...
112 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1993.Numerical applications requir...
Problem statement. The use of programming technologies on modern multicore systems is an integral pa...
Computational Mathematics: Models, Methods, and Analysis with MATLAB and MPI explores and illustrate...
iii Numerical applications require large amounts of computing power. Although shared memory multipro...
Abstract: Some approaches to choosing parallel features for computing systems are discusse...
In this thesis the design of parallel numerical algorithms is investigated under the framework of th...
This book provides a seamless approach to numerical algorithms, modern programming techniques, and p...
This book systematically classifies the mathematical formalisms of computational models that are req...
Methods for the parallelization of complex software systems in scientific computing have been develo...
Scientific computing is by its very nature a practical subject- it requires tools and a lot of pract...
High Performance Fortran (HPF) has emerged as a standard dialect of Fortran for data-parallel comput...
International audienceScientific computing has become an indispensable tool in numerous fields, such...
The article describes various options for speeding up calculations on computer systems. These featur...
Since most partial differential equations (PDEs) do not have exact solutions, they are usually solve...
Abstract: This article is dedicated to the Debugger for the parallel programs on the NORMA...