| Autor: |
Zaripova Rimma, Aygumov Timur, Kovrizhnykh Olga, Akhmetshin Dinar, Nuriev Marat |
| Jazyk: |
English<br />French |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
E3S Web of Conferences, Vol 549, p 08016 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2267-1242 |
| DOI: |
10.1051/e3sconf/202454908016 |
| Popis: |
This article explores the utilization of Parallel Language Integrated Query (PLINQ) as a powerful tool for enhancing the processing of large datasets through parallelism in .NET applications. PLINQ leverages the capabilities of modern multicore processors to accelerate data operations, thereby enabling developers to significantly reduce processing time while efficiently managing computational resources. The discussion begins with an overview of PLINQ’s integration within the .NET framework, emphasizing its ability to parallelize standard LINQ queries seamlessly. The article then delves into practical applications of PLINQ, illustrating through examples how it can optimize tasks such as financial data analysis and image processing. The core concepts and architecture of PLINQ, including its support for complex query capabilities and advanced aggregation functions, are examined to highlight how PLINQ manages data partitioning, load balancing, and thread safety. Further, the article addresses the strategic design considerations necessary for maximizing the efficiency of PLINQ, focusing on the importance of thoughtful system design to overcome potential limitations. Best practices for employing PLINQ are discussed to ensure optimal performance and effective use of parallel programming constructs.Finally, the conclusion underscores the significance of PLINQ in modern software development, particularly for applications that demand high-performance data processing capabilities. The article advocates for the strategic integration of PLINQ in developing applications that not only perform faster but are also scalable and robust, thereby meeting the challenges of processing large volumes of data in today’s computing environments. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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