Design Patterns and Algorithmic Skeletons: A Brief Concordance

2018 ◽  
pp. 45-56
Author(s):  
Adriana E. Chis ◽  
Horacio González–Vélez
Keyword(s):  
Design Patterns ◽  
Algorithmic Skeletons

Implementing Parallel Metaheuristic Optimization Framework Using Metaprogramming and Design Patterns

2012 ◽  
Vol 263-266 ◽  
pp. 1864-1873 ◽  
Author(s):  
Andrey V. Tsyganov ◽  
Oleg I. Bulychov
Keyword(s):  
Design Patterns ◽  
Optimization Problems ◽  
Optimization Methods ◽  
Algorithmic Skeletons ◽  
Framework Structure ◽  
End User ◽  
Optimization Framework ◽  
Metaheuristic Optimization ◽  
Cross Platform ◽  
Wide Usage

In the present paper we introduce an approach to implementing parallel metaheuristic optimization frameworks which is used in the design of the framework HeO. This experimental cross-platform framework is a collection of popular optimization methods implemented in C++ as algorithmic skeletons. The key feature of the discussed approach is the wide usage of metaprogramming and design patterns which allow to increase the reusability of the code and ease the process of hybrid algorithms construction for the end-user. We consider framework structure and implementation details and provide the results of numerical experiments for some well-known optimization problems.

scholarly journals Algorithmic Skeletons and Parallel Design Patterns in Mainstream Parallel Programming

2020 ◽  
Author(s):  
Marco Danelutto ◽  
Gabriele Mencagli ◽  
Massimo Torquati ◽  
Horacio González–Vélez ◽  
Peter Kilpatrick
Keyword(s):  
Parallel Programming ◽  
Design Patterns ◽  
State Of The Art ◽  
Programming Models ◽  
Algorithmic Skeletons ◽  
Parallel Design ◽  
Parallel Design Patterns ◽  
Parallel Programming Models ◽  
The Impact ◽  
Programming Frameworks

AbstractThis paper discusses the impact of structured parallel programming methodologies in state-of-the-art industrial and research parallel programming frameworks. We first recap the main ideas underpinning structured parallel programming models and then present the concepts of algorithmic skeletons and parallel design patterns. We then discuss how such concepts have permeated the wider parallel programming community. Finally, we give our personal overview—as researchers active for more than two decades in the parallel programming models and frameworks area—of the process that led to the adoption of these concepts in state-of-the-art industrial and research parallel programming frameworks, and the perspectives they open in relation to the exploitation of forthcoming massively-parallel (both general and special-purpose) architectures.

ANALYZING AND IMPROVING WEB APPLICATION QUALITY USING DESIGN PATTERNS

2012 ◽  
Vol 2 (2) ◽  
pp. 112-116
Author(s):  
Shikha Bhatia ◽  
Mr. Harshpreet Singh
Keyword(s):  
Web Application ◽  
Design Pattern ◽  
Design Patterns ◽  
Web Applications ◽  
Past Research ◽  
Software Systems ◽  
Interactive Software ◽  
Web Based ◽  
Software Application ◽  
Execution Speed

With the mounting demand of web applications, a number of issues allied to its quality have came in existence. In the meadow of web applications, it is very thorny to develop high quality web applications. A design pattern is a general repeatable solution to a generally stirring problem in software design. It should be noted that design pattern is not a finished product that can be directly transformed into source code. Rather design pattern is a depiction or template that describes how to find solution of a problem that can be used in many different situations. Past research has shown that design patterns greatly improved the execution speed of a software application. Design pattern are classified as creational design patterns, structural design pattern, behavioral design pattern, etc. MVC design pattern is very productive for architecting interactive software systems and web applications. This design pattern is partition-independent, because it is expressed in terms of an interactive application running in a single address space. We will design and analyze an algorithm by using MVC approach to improve the performance of web based application. The objective of our study will be to reduce one of the major object oriented features i.e. coupling between model and view segments of web based application. The implementation for the same will be done in by using .NET framework.

JAVASCRIPT ASYNCHRONOUS PROGRAMMING

2019 ◽  
Vol 128 (2B) ◽  
pp. 5-16
Author(s):  
Tran Thanh Luong ◽  
Le My Canh
Keyword(s):  
Design Patterns ◽  
Source Code ◽  
Object Oriented ◽  
Exception Handling ◽  
Code Smells ◽  
Asynchronous Programming ◽  
Event Driven ◽  
Programming Patterns ◽  
The Impact

JavaScript has become more and more popular in recent years because its wealthy features as being dynamic, interpreted and object-oriented with first-class functions. Furthermore, JavaScript is designed with event-driven and I/O non-blocking model that boosts the performance of overall application especially in the case of Node.js. To take advantage of these characteristics, many design patterns that implement asynchronous programming for JavaScript were proposed. However, choosing a right pattern and implementing a good asynchronous source code is a challenge and thus easily lead into less robust application and low quality source code. Extended from our previous works on exception handling code smells in JavaScript and exception handling code smells in JavaScript asynchronous programming with promise, this research aims at studying the impact of three JavaScript asynchronous programming patterns on quality of source code and application.

MDA Based Design Patterns Modeling and Model Transformation

2008 ◽  
Vol 19 (9) ◽  
pp. 2203-2217 ◽  
Author(s):  
Tian ZHANG ◽  
Yan ZHANG ◽  
Xiao-Feng YU ◽  
Lin-Zhang WANG ◽  
Xuan-Dong LI
Keyword(s):  
Design Patterns ◽  
Model Transformation

Applying design patterns to decision tree learning system

1998 ◽  
Vol 23 (6) ◽  
pp. 111-120 ◽  
Author(s):  
Gou Masuda ◽  
Norihiro Sakamoto ◽  
Kazuo Ushijima
Keyword(s):  
Decision Tree ◽  
Design Patterns ◽  
Learning System ◽  
Decision Tree Learning
Sign in / Sign up

Export Citation Format

Share Document