precomputed

简明释义

[priːkəmˈpjuːtɪd][priˈkɑmˌpjutɪd]

adj. [数] 预先计算的

英英释义

Calculated or determined in advance, often to save time or resources during subsequent computations.

提前计算或确定,通常是为了在后续计算中节省时间或资源。

单词用法

use precomputed values

使用预计算值

store precomputed data

存储预计算数据

generate precomputed results

生成预计算结果

apply precomputed algorithms

应用预计算算法

precomputed lookup table

预计算查找表

precomputed hash

预计算哈希

precomputed coefficients

预计算系数

precomputed graphics

预计算图形

同义词

calculated

计算的

The results were calculated before the experiment.

结果在实验之前就已计算出来。

predetermined

预先确定的

The values are predetermined based on initial conditions.

这些值是基于初始条件预先确定的。

fixed

固定的

The fixed parameters ensure consistency across tests.

固定参数确保测试的一致性。

established

已建立的

Established guidelines help in decision-making.

已建立的指导方针有助于决策。

反义词

computed

计算的

The results are computed in real-time based on user input.

结果是根据用户输入实时计算的。

on-the-fly

动态生成的

The data is generated on-the-fly rather than being precomputed.

数据是动态生成的,而不是预先计算的。

例句

1.Since all visibility is precomputed, you cannot open or close portals at runtime.

因为所有的可见性是预先计算的,您不能实时打开或关闭入口。

2.To improve testing data compression ratios, a test-bit-rearrangement algorithm and an end-flag alternation-run-length code scheme are proposed based on the characteristics of precomputed test sets.

为了提高测试数据压缩率,根据预先计算测试集的特点,文章提出了一种测试位重组算法和端标记交替-连续编码方案。

3.Precomputed comparisons can be selected from a database covering all the completed bacterial chromosome and plasmid sequences in the Genome Reviews database.

预计算的比对能够从覆盖所有完整的细菌染色体和质粒序列的一个数据库中挑选。

4.The model downloaded to a smart phone finds an approximate solution for a new set of parameters by reference to the precomputed solutions.

这个模型会被下载到智能手机上,通过引用预先计算好的结果来找到一个对应新的参数组的近似结果。

5.To improve testing data compression ratios, a test-bit-rearrangement algorithm and an end-flag alternation-run-length code scheme are proposed based on the characteristics of precomputed test sets.

为了提高测试数据压缩率,根据预先计算测试集的特点,文章提出了一种测试位重组算法和端标记交替-连续编码方案。

6.We efficiently precomputed these series using an adaptive frequency sweeping algorithm and volume-velocity-preserving mesh simplification.

我们通过使用自适应的频率扫描算法和保持体积速度的网格简化算法,有效地预先计算这些序列。

7.The simulation runs faster because it relies on precomputed 预计算的 data for physics.

该模拟运行更快,因为它依赖于预计算的物理数据。

8.The software includes precomputed 预计算的 graphics to enhance performance.

该软件包含预计算的图形以增强性能。

9.In video games, many assets are precomputed 预计算的 to reduce loading times.

在视频游戏中,许多资源都是预计算的以减少加载时间。

10.Using precomputed 预计算的 paths can optimize route planning in navigation systems.

使用预计算的路径可以优化导航系统中的路线规划。

11.The algorithm uses a set of precomputed 预计算的 values to speed up the calculations.

该算法使用一组预计算的值来加速计算。

作文

In the realm of computer science and data processing, the concept of precomputed values plays a crucial role in enhancing efficiency and performance. When we talk about precomputed data, we refer to information that has been calculated or processed in advance, rather than being computed on-the-fly during runtime. This technique is particularly beneficial in scenarios where computational resources are limited or where speed is of the essence. For instance, in graphics rendering, many algorithms rely on precomputed textures or lighting information to produce images quickly without recalculating every pixel each time a frame is drawn.The advantages of using precomputed values extend beyond just speed. They can also lead to reduced power consumption, which is critical in mobile devices and other battery-operated gadgets. By storing results that would otherwise require intensive calculations, developers can create applications that run smoother and consume less energy. This is especially important in today's world, where users expect seamless experiences across various platforms.Another area where precomputed values are invaluable is in machine learning. Many algorithms benefit from having certain calculations done ahead of time, allowing them to focus on learning patterns from data rather than getting bogged down by repetitive computations. For example, in training neural networks, certain weight adjustments might be precomputed based on previous iterations, thus accelerating the training process.However, the use of precomputed data isn't without its challenges. One major concern is the balance between storage space and computational efficiency. While storing precomputed values can save time, it can also consume significant amounts of memory. Therefore, developers must carefully consider what data should be precomputed and how much storage it will require. This decision-making process often involves trade-offs, where one must weigh the benefits of faster access against the costs of increased memory usage.Moreover, the dynamic nature of many applications today poses additional hurdles for precomputed data. In situations where data is frequently updated or changed, maintaining the accuracy of precomputed values can become a logistical challenge. Developers may need to implement strategies to refresh these values regularly or to invalidate them when underlying data changes. This adds complexity to the design and maintenance of software systems.In conclusion, the concept of precomputed values is an essential aspect of modern computing, offering numerous benefits in terms of speed and efficiency. Whether in graphics rendering, machine learning, or other data-intensive applications, precomputed data allows for quicker responses and a better user experience. However, it is vital to address the challenges associated with storage and data accuracy to fully leverage the advantages offered by precomputed values. As technology continues to evolve, the methods and strategies for utilizing precomputed data will undoubtedly become more sophisticated, paving the way for even greater advancements in the field of computing.

在计算机科学和数据处理领域,precomputed(预计算)值的概念在提高效率和性能方面起着至关重要的作用。当我们谈论precomputed数据时,我们指的是已经提前计算或处理的信息,而不是在运行时动态计算。这种技术在计算资源有限或速度至关重要的场景中特别有益。例如,在图形渲染中,许多算法依赖于precomputed纹理或光照信息,以快速生成图像,而不必每次绘制帧时重新计算每个像素。使用precomputed值的优势不仅限于速度。它们还可以减少功耗,这在移动设备和其他电池供电的设备中至关重要。通过存储本来需要进行大量计算的结果,开发人员可以创建运行更顺畅、能耗更低的应用程序。在当今这个用户期望在各种平台上获得无缝体验的世界中,这一点尤为重要。Precomputed值在机器学习中也是无价的。许多算法受益于提前完成某些计算,使它们能够专注于从数据中学习模式,而不是被重复计算所困扰。例如,在训练神经网络时,某些权重调整可能会根据先前的迭代进行precomputed,从而加快训练过程。然而,使用precomputed数据并非没有挑战。一个主要问题是存储空间和计算效率之间的平衡。虽然存储precomputed值可以节省时间,但也可能消耗大量内存。因此,开发人员必须仔细考虑哪些数据应该被precomputed以及所需的存储量。这一决策过程通常涉及权衡,需要在更快的访问与增加的内存使用之间进行权衡。此外,今天许多应用程序的动态特性为precomputed数据带来了额外的障碍。在数据频繁更新或更改的情况下,维护precomputed值的准确性可能成为后勤挑战。开发人员可能需要实施策略,定期刷新这些值或在基础数据更改时使其失效。这为软件系统的设计和维护增加了复杂性。总之,precomputed值的概念是现代计算的一个基本方面,在速度和效率方面提供了众多好处。无论是在图形渲染、机器学习还是其他数据密集型应用中,precomputed数据都允许更快的响应和更好的用户体验。然而,解决与存储和数据准确性相关的挑战对于充分利用precomputed值提供的优势至关重要。随着技术的不断发展,利用precomputed数据的方法和策略无疑会变得更加复杂,为计算领域的进一步进步铺平道路。