scholarly journals Parallel programming technologies on computer complexes

2020 ◽  
Vol 30 (3) ◽  
pp. 28-33 ◽  
Author(s):  
S. A. Pryadko ◽  
A. Yu. Troshin ◽  
V. D. Kozlov ◽  
A. E. Ivanov
Keyword(s):  
Parallel Programming ◽  
Shared Memory ◽  
Programming Language ◽  
Operating Systems ◽  
Distributed Memory ◽  
Programming Models ◽  
Writing Programs ◽  
Advantages And Disadvantages ◽  
C Programming Language ◽  
C Programming

The article describes various options for speeding up calculations on computer systems. These features are closely related to the architecture of these complexes. The objective of this paper is to provide necessary information when selecting the capability for the speeding process of solving the computation problem. The main features implemented using the following models are described: programming in systems with shared memory, programming in systems with distributed memory, and programming on graphics accelerators (video cards). The basic concept, principles, advantages, and disadvantages of each of the considered programming models are described. All standards for writing programs described in the article can be used both on Linux and Windows operating systems. The required libraries are available and compatible with the C/C++ programming language. The article concludes with recommendations on the use of a particular technology, depending on the type of task to be solved.

scholarly journals Utilization of parallel computing in chemical engineering

2015 ◽  
Vol 8 (2) ◽  
pp. 146-151 ◽  
Author(s):  
Matej Danko ◽  
Juraj Labovský ◽  
Ján Janošovský ◽  
Zuzana Labovská ◽  
Ľudovít Jelemenský
Keyword(s):  
Parallel Computing ◽  
Parallel Programming ◽  
Case Studies ◽  
Programming Language ◽  
Chemical Engineering ◽  
Parallel Computers ◽  
C Programming Language ◽  
C Programming ◽  
Language Environment

AbstractThe main objective of the presented work was to explore the possibilities of parallel computing utilization in chemical engineering. Parallel computers and principles of parallel computing are in brief described in Introduction. The next part exposes the possibilities of parallel programming in Matlab and C# programming language environment. The next three parts provide case studies of parallel computing in chemical engineering. Each example of the benefits of HPC involves a comparison with its serial equivalents.

scholarly journals The Parallel C Preprocessor

1992 ◽  
Vol 1 (1) ◽  
pp. 79-89 ◽  
Author(s):  
Eugene D. Brooks III ◽  
Brent C. Gorda ◽  
Karen H. Warren
Keyword(s):  
Shared Memory ◽  
Programming Language ◽  
Programming Model ◽  
Parallel Machine ◽  
Fixed Number ◽  
Massively Parallel ◽  
Efficient Mechanism ◽  
C Programming Language ◽  
C Programming ◽  
C Preprocessor

We describe a parallel extension of the C programming language designed for multiprocessors that provide a facility for sharing memory between processors. The programming model was initially developed on conventional shared memory machines with small processor counts such as the Sequent Balance and Alliant FX/8, but has more recently been used on a scalable massively parallel machine, the BBN TC2000. The programming model issplit-joinrather thanfork-join. Concurrency is exploited to use a fixed number of processors more efficiently rather than to exploit more processors as in the fork-join model. Team splitting, a mechanism to split the team of processors executing a code into subteams to handle parallel subtasks, is used to provide an efficient mechanism to exploit nested concurrency. We have found the split-join programming model to have an inherent implementation advantage, compared to the fork-join model, when the number of processors in a machine becomes large.

scholarly journals Computing support for testing equal values of the figurative numbers in the Pascal triangle

2020 ◽  
Vol 2 (7) ◽  
pp. 36-41
Author(s):  
Miroslava Mihajlov Carević ◽  
Miloš Ilić ◽  
Milena Petrović ◽  
Nebojša Denić
Keyword(s):  
Programming Language ◽  
Mathematical Analysis ◽  
Computer Laboratory ◽  
C Programming Language ◽  
Pascal Triangle ◽  
C Programming ◽  
Computing Support

In this paper we deal with a method for the determination of numbers in a Pascal triangle that are simultaneously triangular, tetrahedral and pentaedroidni. The collected results, obtained by mathematical analysis, were verified by computer. For this purpose, we used the C# programming language as well as the computer laboratory within our University in order to test the results. The results collected by computer confirmed the accuracy of the results obtained by mathematical analysis.

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