scholarly journals An object-oriented parallel programming language for distributed-memory parallel computing platforms

2014 ◽  
Vol 80 ◽  
pp. 65-90 ◽  
Author(s):  
Eduardo Gurgel Pinho ◽  
Francisco Heron de Carvalho
Keyword(s):  
Parallel Computing ◽  
Parallel Programming ◽  
Programming Language ◽  
Distributed Memory ◽  
Object Oriented ◽  
Computing Platforms ◽  
Oriented Parallel ◽  
Parallel Programming Language

Collective Relocation for Associative Distributed Collections of Objects

2017 ◽  
Vol 5 (2) ◽  
pp. 55-69
Author(s):  
Daisuke Fujishima ◽  
Tomio Kamada
Keyword(s):  
Parallel Computing ◽  
Performance Evaluation ◽  
Programming Languages ◽  
Parallel Programming ◽  
Programming Language ◽  
Data Structures ◽  
Object Oriented ◽  
Linux Cluster ◽  
Data Elements ◽  
Oriented Parallel

The field of parallel computing has experienced an increase in the number of computing nodes, allowing broader applications, including computations that have irregular features. Some parallel programming languages handle object data structures and offer marshaling/unmarshaling mechanisms to transpose them. To manage data elements across computing nodes, some research on distributed collections has been conducted. This study proposes a distributed collection library that can handle multiple collections of object elements and change their distributions while maintaining associativity between their elements. This library is implemented on an object-oriented parallel programming language, X10. The authors assume pairs of associative collections such as vehicles and streets in a traffic simulation. When many vehicles are concentrated on streets assigned to certain computing nodes, some of these streets should be moved to other nodes. The authors' library assists the programmer in easily distributing the associative collections over the computing nodes and collectively relocating elements while maintaining the data sharing relationship among associative elements. The programmer can describe the associativity between objects by using both declarative and procedural methods. They show a preliminary performance evaluation of their library on a Linux cluster and the K computer.

SC-EXPRESSIONS IN OBJECT-ORIENTED LANGUAGES

2007 ◽  
Vol 18 (06) ◽  
pp. 1441-1452
Author(s):  
SHENG YU ◽  
QING ZHAO
Keyword(s):  
Parallel Programming ◽  
Programming Language ◽  
Object Oriented ◽  
Automata Theory ◽  
Basic Ideas ◽  
Basic Features ◽  
Synchronization Constraints ◽  
Object Oriented Languages ◽  
Parallel Programming Language

In this paper, SC-expressions are developed, based on automata theory, for specifying synchronization constraints in parallel object-oriented languages. The predecessor of SC-expressions, the synchronization expressions, was introduced in the ParC parallel programming language in the early nineties [19]. However, ParC is not an object-oriented language and also a number of basic features of synchronization expressions are inadequate for object-oriented languages. SC-expressions are developed for object-oriented environment. They are different from synchronization expressions in basic ideas and assumptions. Here we describe the basic ideas of SC-expressions and their applications in object-oriented languages. We also study the problem of inheritance of the SC-expressions.

scholarly journals On implicit multiparadigmality of parallel programming

2021 ◽  
Author(s):  
Lidia Vasiljevna Gorodnyaya
Keyword(s):  
Parallel Computing ◽  
Distributed Systems ◽  
Parallel Programming ◽  
Programming Language ◽  
Paradigmatic Analysis ◽  
Similarities And Differences ◽  
Parallel Programming Language

The report is devoted to the results of a paradigmatic analysis of problems, means and methods of organizing parallel computing and multi-threaded programs for multiprocessor complexes and distributed systems. Paradigmatic analysis of programming language and systems allows decomposing the complexity of the tasks being solved into autonomously developed components, assessing their similarities and differences, which must be taken into account when predicting the course of application processes, as well as when planning the study and organizing the development of programs. A variety of paradigmatic characteristics inherent in the preparation and debugging of long-lived parallel computing programs are shown. A sketch of a multi-paradigm parallel programming language for educational purposes is presented.

Parallel Programming Language Adetran

1995 ◽  
pp. 429-465
Author(s):  
Koji Zaiki ◽  
Akiyoshi Wakatani ◽  
Tadashi Okamoto ◽  
Katsuyuki Kaneko ◽  
Tatsuo Nogi
Keyword(s):  
Parallel Programming ◽  
Programming Language ◽  
Parallel Programming Language

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.

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