scholarly journals Improving the generalisation of genetic programming models with evaluation time and asynchronous parallel computing

Author(s):  
Aliyu Sani Sambo ◽  
R. Muhammad Atif Azad ◽  
Yevgeniya Kovalchuk ◽  
Vivek Padmanaabhan ◽  
Hanifa Shah
Author(s):  
Aliyu Sani Sambo ◽  
R. Muhammad Atif Azad ◽  
Yevgeniya Kovalchuk ◽  
Vivek Padmanaabhan Indramohan ◽  
Hanifa Shah

Author(s):  
Mauro Castelli ◽  
Ivo Gonçalves ◽  
Luca Manzoni ◽  
Leonardo Vanneschi

2015 ◽  
Vol 2015 ◽  
pp. 1-18
Author(s):  
Vladimiras Dolgopolovas ◽  
Valentina Dagienė ◽  
Saulius Minkevičius ◽  
Leonidas Sakalauskas

The aim of this study is to present an approach to the introduction into pipeline and parallel computing, using a model of the multiphase queueing system. Pipeline computing, including software pipelines, is among the key concepts in modern computing and electronics engineering. The modern computer science and engineering education requires a comprehensive curriculum, so the introduction to pipeline and parallel computing is the essential topic to be included in the curriculum. At the same time, the topic is among the most motivating tasks due to the comprehensive multidisciplinary and technical requirements. To enhance the educational process, the paper proposes a novel model-centered framework and develops the relevant learning objects. It allows implementing an educational platform of constructivist learning process, thus enabling learners’ experimentation with the provided programming models, obtaining learners’ competences of the modern scientific research and computational thinking, and capturing the relevant technical knowledge. It also provides an integral platform that allows a simultaneous and comparative introduction to pipelining and parallel computing. The programming language C for developing programming models and message passing interface (MPI) and OpenMP parallelization tools have been chosen for implementation.


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