Optimizing Software Performance: A Deep Dive into Code Efficiency and System Bottlenecks
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Informative Article | Computer Science and Information Technology | United States of America | Volume 14 Issue 3, March 2025 | Popularity: 4.9 / 10


     

Optimizing Software Performance: A Deep Dive into Code Efficiency and System Bottlenecks

Sreenadh Payyambally


Abstract: Performance optimization in software development extends far beyond writing functional code - it requires a thorough understanding of how each line interacts with hardware and system resources. In my view, efficient coding is not just about reducing execution time but also about ensuring scalability and system reliability. This guide explores the intricacies of CPU pipelines, caching, memory allocation, and I/O operations, shedding light on common inefficiencies that slow down applications. It is evident that issues such as branch misprediction, cache misses, and lock contention can cripple performance if left unchecked. The discussion also delves into modern profiling techniques and diagnostic tools, emphasizing the importance of data - driven optimizations. Taking this further, the article highlights strategies to mitigate latency, reduce garbage collection overhead, and improve throughput. By applying these principles, developers can refine their approach to writing high - performance code that adapts to evolving computing environments. This suggests that performance optimization is not a one - time task but a continuous process requiring both theoretical insight and practical implementation.


Keywords: Software performance, CPU efficiency, memory optimization, I/O bottlenecks, profiling techniques


Edition: Volume 14 Issue 3, March 2025


Pages: 458 - 460


DOI: https://www.doi.org/10.21275/SR25310092713


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Sreenadh Payyambally, "Optimizing Software Performance: A Deep Dive into Code Efficiency and System Bottlenecks", International Journal of Science and Research (IJSR), Volume 14 Issue 3, March 2025, pp. 458-460, https://www.ijsr.net/getabstract.php?paperid=SR25310092713, DOI: https://www.doi.org/10.21275/SR25310092713

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