Introduction to parallel computing: design and analysis of algorithms
Introduction to parallel computing: design and analysis of algorithms
High Performance Cluster Computing: Architectures and Systems
High Performance Cluster Computing: Architectures and Systems
Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering
Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering
Scalable Parallel Computing: Technology,Architecture,Programming
Scalable Parallel Computing: Technology,Architecture,Programming
Parallel Computers Two: Architecture, Programming and Algorithms
Parallel Computers Two: Architecture, Programming and Algorithms
Parallel Programming in C with MPI and OpenMP
Parallel Programming in C with MPI and OpenMP
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In this paper we introduce a software system which allows to carry out and visualize computational experiments for studying and researching the parallel algorithms of solving complicated computational problems in imitation mode on one single sequential computer. User can "assemble" a parallel computational system of cluster type that consists of multiprocessor and multicore nodes connected with the network, set up the problem to be solved, carry out the parallel solving algorithm, collect and analyze the results of computational experiments. To estimate the execution time of parallel method on current hardware system we use the sophisticated models. For every implemented parallel method we proved the theoretical estimations of the execution time by comparing the real time of the execution on the NNSU high performance cluster with the time, that can be calculated using the model.