superscale

简明释义

英[ˈsuːpəskeɪl]美[ˈsuːpərskeɪl]

adj. 大规模的，大范围的

英英释义

单词用法

同义词

反义词

例句

1.Objective: To estimate blood cadmium level and its superscale of 0 ~ 6 years old children in Linyi urban district.

目的：了解临沂市区0 ~6岁儿童血镉水平及血镉超标状况。

2.Analysing causation of Iron ion superscale in one Brine and it's harm, take steps to solve it.

分析了一次盐水中铁离子超标的危害及成因，采取了根除铁离子超标的技改措施。

3.Finally, this paper put forward the method to optimize code: write code on the basis of superscale, dispose the memory rationally, adopt circulation-expand technology, simplify the algorithms, etc.

最后，本文提出了进一步优化的思路：基于超标量思想对算法进行优化，合理配置内存，采用循环展开技术，简化算法等。

4.Finally, this paper put forward the method to optimize code: write code on the basis of superscale, dispose the memory rationally, adopt circulation-expand technology, simplify the algorithms, etc.

最后，本文提出了进一步优化的思路：基于超标量思想对算法进行优化，合理配置内存，采用循环展开技术，简化算法等。

5.The telecommunications industry is moving towards superscale 超大规模 networks to support 5G technologies.

电信行业正在向<superscale>超大规模superscale>网络发展，以支持5G技术。

6.Companies are increasingly adopting superscale 超大规模 architectures to meet growing customer demands.

公司越来越多地采用<superscale>超大规模superscale>架构以满足日益增长的客户需求。

7.The latest advancements in AI technology allow for superscale 超大规模 model training.

最新的人工智能技术进步使得<superscale>超大规模superscale>模型训练成为可能。

8.In the world of gaming, superscale 超大规模 environments provide players with immersive experiences.

在游戏世界中，<superscale>超大规模superscale>环境为玩家提供了沉浸式体验。

9.The new cloud computing platform is designed to handle superscale 超大规模 data processing tasks efficiently.

新的云计算平台旨在高效处理<superscale>超大规模superscale>的数据处理任务。

作文

In the realm of technology and engineering, the term superscale (超大规模) has become increasingly prominent, particularly in the context of computing and data processing. As we continue to advance into an era dominated by big data and artificial intelligence, understanding what superscale means is crucial for both professionals and enthusiasts alike. Superscale refers to systems or architectures that can handle vast amounts of data and perform numerous computations simultaneously, far beyond the capabilities of traditional systems.One of the most significant applications of superscale technology is in cloud computing. Cloud service providers utilize superscale architectures to offer services that can dynamically adjust resources based on user demand. This means that during peak usage times, such as during major online sales or global events, these systems can scale up their resources to accommodate millions of users without crashing or slowing down. The ability to operate at a superscale level ensures that businesses can maintain high levels of performance and reliability, which is essential in today’s fast-paced digital economy.Moreover, the concept of superscale extends beyond mere resource allocation; it also involves sophisticated algorithms and machine learning techniques that optimize performance. For instance, companies like Google and Amazon have developed superscale systems that leverage artificial intelligence to predict user behavior and preemptively allocate resources. This proactive approach not only enhances user experience but also reduces operational costs, making superscale systems a vital part of modern business strategy.In addition to cloud computing, superscale architectures are essential in fields such as scientific research and simulations. Researchers often require immense computational power to analyze complex data sets or run simulations that model real-world phenomena. With superscale computing, scientists can process vast amounts of information in a fraction of the time it would take using traditional methods. This capability accelerates discoveries in various fields, including climate science, genomics, and physics, ultimately leading to advancements that benefit society as a whole.However, achieving superscale performance is not without its challenges. The complexity of managing and maintaining such large systems can lead to increased costs and potential points of failure. Additionally, as systems scale up, issues related to data security and privacy become more pronounced. Organizations must implement robust security measures to protect sensitive information from breaches and ensure compliance with regulations. Therefore, while the benefits of superscale architectures are clear, careful consideration and planning are necessary to mitigate the associated risks.In conclusion, the concept of superscale (超大规模) is integral to the future of technology, enabling systems to handle unprecedented levels of data and computation. From cloud computing to scientific research, superscale architectures play a pivotal role in driving innovation and efficiency. As we continue to explore the possibilities of technology, understanding and leveraging superscale systems will be essential for individuals and organizations aiming to thrive in an increasingly data-driven world.