多核并行处理的概念，有效的排序和搜索

2015 International Conference on Signal Processing and Communication Engineering Systems Pub Date : 2015-03-12 DOI:10.1109/SPACES.2015.7058238

K. Sujatha, P. V. Nageswara Rao, A. Rao, V. G. Sastry, V. Praneeta, R. Bharat

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引用次数: 4

摘要

今天的许多应用程序需要比传统顺序计算机提供更多的计算能力。高性能计算需要并行处理。并行性用于描述物理上同时执行的执行，目的是更快地处理复杂问题。多核处理是指代码在单个CPU芯片的多个核心上工作，是并行处理的一个子集。多核利用是指CPU的有效使用。在并行处理中，程序指令被分配给多个处理器，目的是与顺序处理相比，在更短的时间内执行同一个程序。封装并行处理，开发了排序和搜索相关的应用程序，并在大型数据库上进行了测试。基于冒泡排序和线性搜索的实验结果表明，与顺序处理相比，负载共享更容易完成工作，多核利用率并行处理也更快。

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Multicore parallel processing concepts for effective sorting and searching

Many applications today require more computing power than offered by a traditional sequential computers. High performance computing requires parallel processing. Parallelism is utilized to depict executions that physically execute at the same time with the objective of taking care of a complex issue quicker. Multicore processing means code working on more than one core of a single CPU chip and is a subset of Parallel Processing and Multicore utilization means that efficient usage of CPU. In parallel processing, program instructions are divided among multiple processors with the goal of executing the same program in less time compared to sequential processing. Applications programs related to sorting and searching are developed encapsulating parallel processing and are tested on huge database. Experimental results based on bubble sort and linear search show that it is easier to get work done if load is shared and also quicker by parallel processing with multicore utilization compared to sequential processing.

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2015 International Conference on Signal Processing and Communication Engineering Systems

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