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All Journal Jurnal Riset Multidisiplin Edukasi
Muhammad Faiz Fairuz
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MODEL PARALELISASI MENGGUNAKAN DIVIDE AND CONQUER, PIPELINE, DAN MAP-REDUCE Bayu Endru Subiyakto; Fawwaz Muzakkty; Alfi Muiz; Muhammad Faiz Fairuz
Jurnal Riset Multidisiplin Edukasi Vol. 3 No. 1 (2026): Jurnal Riset Multidisiplin Edukasi (Januari 2026) In Press
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v3i1.1596

Abstract

This study discusses a computational parallelization model that integrates the divide and conquer, pipeline processing, and map-reduce approaches as strategies to improve data processing efficiency and the performance of modern computing systems. The background of this study is based on the growing need to optimize increasingly complex computational processes, particularly in large-scale data processing scenarios and applications that require fast execution times. The literature review covers the fundamental concepts, functions, and main roles of each parallel algorithm in creating more efficient processing structures. The research method adopts a qualitative approach with descriptive analysis, focusing on the interpretation of literature, mapping of operational mechanisms, and comparative evaluation of the three parallelization models within the context of practical implementation. The results indicate that combining the three models can enhance scalability, reduce bottlenecks, and significantly accelerate computation time. This study confirms that the appropriate selection and integration of parallel strategies can effectively support the demands of modern computing in both distributed environments and multi-core architectures.
Co-Authors Alfi Muiz Bayu Endru Subiyakto Fawwaz Muzakkty