execution time

简明释义

执行时间

英英释义

例句

1.The program's execution time is significantly reduced after optimization.

经过优化后，程序的执行时间显著减少。

2.We need to measure the execution time of this algorithm to ensure it meets performance requirements.

我们需要测量这个算法的执行时间以确保它符合性能要求。

3.Long execution time can lead to poor user experience in web applications.

较长的执行时间可能导致网页应用程序的用户体验不佳。

4.The execution time of the query increased due to the large dataset.

由于数据集庞大，查询的执行时间增加了。

5.By analyzing the execution time, we can identify bottlenecks in the code.

通过分析执行时间，我们可以识别代码中的瓶颈。

作文

In the realm of computer science, particularly in algorithm analysis, the concept of execution time is crucial. It refers to the amount of time taken by a program or algorithm to complete its task. Understanding execution time allows developers to optimize their code, ensuring that applications run efficiently and effectively. The significance of execution time cannot be overstated, as it directly impacts user experience and resource management. For instance, when developing software, programmers often face the challenge of balancing between functionality and performance. A program that takes too long to execute can frustrate users, leading to a negative perception of the software. Therefore, analyzing the execution time of algorithms is essential for identifying bottlenecks and improving overall performance. Different factors contribute to execution time, including the complexity of the algorithm, the size of the input data, and the efficiency of the programming language used. For example, an algorithm with a time complexity of O(n^2) will have a significantly longer execution time than one with O(n) when processing large datasets. This illustrates the importance of selecting appropriate algorithms based on the expected input size. Moreover, developers often use various tools and techniques to measure execution time. Profiling tools can provide insights into which parts of the code are consuming the most time, allowing developers to focus their optimization efforts where they are most needed. Additionally, benchmarking can help compare the execution time of different algorithms or implementations, guiding developers in choosing the best approach for their specific needs. It is also worth noting that execution time is not solely determined by the algorithm itself. Factors such as hardware specifications, system load, and even the operating system can influence the execution time of a program. For instance, a program running on a high-performance server may exhibit a much shorter execution time compared to the same program running on a standard personal computer. In conclusion, understanding and optimizing execution time is vital for developers aiming to create efficient software solutions. By carefully analyzing the factors that affect execution time and employing effective measurement techniques, developers can enhance the performance of their applications, ultimately leading to better user satisfaction and effective resource utilization. As technology continues to evolve, the importance of minimizing execution time will only grow, making it an essential consideration in the development process.

在计算机科学领域，特别是在算法分析中，执行时间的概念至关重要。它指的是程序或算法完成其任务所需的时间。理解执行时间使开发人员能够优化他们的代码，确保应用程序高效有效地运行。执行时间的重要性不容忽视，因为它直接影响用户体验和资源管理。例如，在开发软件时，程序员常常面临在功能与性能之间取得平衡的挑战。一个执行时间过长的程序可能会让用户感到沮丧，从而导致对软件的负面看法。因此，分析算法的执行时间对于识别瓶颈和提高整体性能至关重要。影响执行时间的因素有很多，包括算法的复杂性、输入数据的大小以及所使用编程语言的效率。例如，一个时间复杂度为O(n^2)的算法在处理大数据集时，其执行时间将显著长于一个时间复杂度为O(n)的算法。这说明根据预期输入大小选择合适算法的重要性。此外，开发人员通常使用各种工具和技术来测量执行时间。性能分析工具可以提供有关代码哪些部分消耗最多时间的见解，使开发人员能够集中优化工作在最需要的地方。此外，基准测试可以帮助比较不同算法或实现的执行时间，指导开发人员为他们的特定需求选择最佳方法。同样值得注意的是，执行时间不仅仅由算法本身决定。硬件规格、系统负载甚至操作系统等因素都可能影响程序的执行时间。例如，在高性能服务器上运行的程序，其执行时间可能远比在标准个人计算机上运行的同一程序短。总之，理解和优化执行时间对旨在创建高效软件解决方案的开发人员至关重要。通过仔细分析影响执行时间的因素并采用有效的测量技术，开发人员可以提高其应用程序的性能，最终带来更好的用户满意度和有效的资源利用。随着技术的不断发展，缩短执行时间的重要性将只会增加，因此它将在开发过程中成为一个必不可少的考虑因素。