Optimizing Algorithms for low CPU Usage in Different Scenarios

Popa, Bogdan; Popescu, Dan; Roman, Monica; Constantinescu, Radu Lucian

doi:10.1109/carpathiancc.2019.8765938

Cited by 4 publications

(5 citation statements)

References 11 publications

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“…In the presented article, additional contributions were made to the works [2,3,[10][11][12]16]. Thus, several applications have been described, implemented, and tested, namely:…”

Section: Discussionmentioning

confidence: 99%

“…The obtained results represented by the complex parameters of each iteration are used as the starting values for the next iteration, with this cycle continuing until a critical threshold according to Equation (3). The values are checked during each iteration to see if they have reached an "escape" value or not (in which case the coordinates are saved).…”

Section: Designing the Mandelbrot Setmentioning

confidence: 99%

“…This study develops the research of the authors of [2,3]. As in those articles, the focus here is also on fractal analysis from several perspectives.…”

Section: Introductionmentioning

confidence: 99%

“…The present article is an extension of the articles [2,3,[10][11][12] and concentrates on the most important achievements previously presented by authors in this field.…”

mentioning

confidence: 99%

“…A graph of the sequential and parallel implementations of Mandelbrot algorithms and a fractional case of the Julia algorithm were previously presented in [11]. Additionally, analysis of scenarios in terms of computing time using different processor models were presented in detail in [3].…”

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confidence: 99%

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Possibilities of Use for Fractal Techniques as Parameters of Graphic Analysis

2022

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Image processing remains an area that has impact on the software industry and is a field that is permanently developing in both IT and industrial contexts. Nowadays, the demand for fast computing times is becoming increasingly difficult to fulfill in the case of massive computing systems. This article proposes a particular case of efficiency for a specifically developed model for fractal generations. From the point of view of graphic analysis, the application can generate a series of fractal images. This process is analyzed and compared in this study from a programming perspective in terms of both the results at the processor level and the graphical generation possibilities. This paper presents the structure of the software and its implementation for generating fractal images using the Mandelbrot set. Starting from the complex mathematical set, the component iterations of the Mandelbrot algorithm lead to optimization variants for the calculation. The article consists of a presentation of an optimization variant based on applying parallel calculations for fractal generation. The method used in the study assumes a high grade of accuracy regarding the selected mathematical model for fractal generation and does not characterize a method specially built for a certain kind of image. A series of scenarios are analyzed, and details related to differences in terms of calculation times, starting from the more efficient proposed variant, are presented. The developed software implementation is parallelization-based and is optimized for generating a wide variety of fractal images while also providing a test package for the generated environment. The influence of parallel programming is highlighted in terms of its difference to sequential programming to, in turn, highlight recent methods of speeding up computing times. The purpose of the article is to combine the complexity of the mathematical calculation behind the fractal sets with programming techniques to provides an analysis of the graphic results from the point of view of the use of computing resources and working time.

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“…In the presented article, additional contributions were made to the works [2,3,[10][11][12]16]. Thus, several applications have been described, implemented, and tested, namely:…”

Section: Discussionmentioning

confidence: 99%

Section: Designing the Mandelbrot Setmentioning

confidence: 99%

“…This study develops the research of the authors of [2,3]. As in those articles, the focus here is also on fractal analysis from several perspectives.…”

Section: Introductionmentioning

confidence: 99%

“…The present article is an extension of the articles [2,3,[10][11][12] and concentrates on the most important achievements previously presented by authors in this field.…”

mentioning

confidence: 99%

mentioning

confidence: 99%

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