gigaflops

简明释义

英[ˈɡɪɡəˌflɑps]美[ˈɡɪɡəˌflɑps]

n. 吉拍

英英释义

单词用法

同义词

反义词

例句

1.The device can process between 8 and 10 gigaflops, or about eight to four times the processing power of a standard PC. One gigaflop equals 1 billion floating operations per second.

该设备的处理速度可以达到80~100亿次浮点运算/秒，相当于一台标准PC处理能力的4~8倍。

2.The device can process between 8 and 10 gigaflops, or about eight to four times the processing power of a standard PC. One gigaflop equals 1 billion floating operations per second.

该设备的处理速度可以达到80~100亿次浮点运算/秒，相当于一台标准PC处理能力的4~8倍。

3.Microwulf has been measured to process 26.25 gigaflops, or 26.25 billion double-precision floating point instructions, per second.

Microwulf经测试，运行能力为每秒26.25gigaflops，相当于每秒能进行260多亿次的双精度浮点运算。

4.The new supercomputer can perform calculations at a speed of over 1000 gigaflops.

这台新超级计算机的计算速度超过了1000亿次浮点运算。

5.For gaming applications, a graphics card with at least 5 gigaflops is recommended.

对于游戏应用，建议使用至少5亿次浮点运算的显卡。

6.In scientific simulations, achieving higher gigaflops can significantly reduce computation time.

在科学模拟中，实现更高的亿次浮点运算可以显著减少计算时间。

7.The performance of this algorithm is measured in gigaflops to evaluate its efficiency.

该算法的性能以亿次浮点运算来衡量其效率。

8.With the latest hardware, my laptop can achieve around 20 gigaflops during processing.

通过最新的硬件，我的笔记本电脑在处理时可以达到大约20亿次浮点运算。

作文

In the realm of computing, the term gigaflops refers to a measure of a computer's performance, specifically its ability to process floating-point operations per second. This metric is crucial for understanding how well a system can handle complex calculations, especially in fields like scientific research, engineering, and graphics processing. To put it simply, one gigaflop equates to one billion floating-point operations executed every second. As technology advances, the demand for higher performance in computing continues to grow, making gigaflops an essential benchmark for evaluating processors and systems. The significance of gigaflops extends beyond mere numbers; it plays a vital role in various applications. For instance, in the world of video games, a gaming console or PC with a high gigaflops rating can render graphics more smoothly and efficiently, providing a better experience for players. Similarly, in scientific computing, researchers rely on high-performance computers that can achieve millions or even billions of gigaflops to simulate complex phenomena such as climate change, molecular interactions, and astrophysical events. Furthermore, the concept of gigaflops is particularly important in the context of artificial intelligence (AI) and machine learning. Training AI models often requires massive amounts of data and extensive computational resources. The ability to perform numerous floating-point operations quickly can significantly reduce the time needed to train these models. As a result, advancements in hardware that increase gigaflops are directly linked to the progress in AI capabilities. However, while gigaflops provides a useful measure of performance, it is not the only factor to consider when evaluating a computer's overall capabilities. Other metrics, such as memory bandwidth, latency, and the architecture of the processor, also play crucial roles in determining how effectively a system can perform tasks. Therefore, while a high gigaflops rating is impressive, it should be viewed as part of a larger picture that includes various performance indicators. In conclusion, understanding gigaflops is essential for anyone interested in the field of computing. This metric not only helps consumers make informed decisions about purchasing hardware but also aids professionals in assessing the capabilities of their systems for specific applications. As we continue to push the boundaries of technology, the relevance of gigaflops will only increase, highlighting the importance of efficient computation in our increasingly digital world. Whether for gaming, scientific research, or advancing AI, the quest for higher gigaflops remains a driving force behind innovation in the tech industry.

在计算机领域，术语gigaflops指的是计算机性能的一个衡量标准，特别是其处理每秒浮点运算的能力。这个指标对于理解一个系统如何处理复杂计算至关重要，尤其是在科学研究、工程和图形处理等领域。简单来说，一个gigaflop等于每秒执行十亿次浮点运算。随着技术的发展，对计算机更高性能的需求不断增长，使得gigaflops成为评估处理器和系统的重要基准。 gigaflops的重要性不仅仅体现在数字上；它在各种应用中也发挥着至关重要的作用。例如，在视频游戏的世界里，具有高gigaflops评分的游戏主机或个人电脑可以更流畅、更高效地渲染图形，为玩家提供更好的体验。同样，在科学计算中，研究人员依赖于能够达到数百万甚至数十亿gigaflops的高性能计算机来模拟复杂现象，例如气候变化、分子相互作用和天体事件。 此外，在人工智能（AI）和机器学习的背景下，gigaflops的概念尤为重要。训练AI模型通常需要大量数据和广泛的计算资源。快速执行大量浮点运算的能力可以显著减少训练这些模型所需的时间。因此，增加gigaflops的硬件进步与AI能力的进展直接相关。 然而，尽管gigaflops提供了有用的性能衡量标准，但在评估计算机整体能力时，它并不是唯一需要考虑的因素。其他指标，如内存带宽、延迟和处理器架构，也在决定一个系统有效执行任务的能力中发挥着关键作用。因此，尽管高gigaflops评分令人印象深刻，但应该将其视为更大背景的一部分，包括各种性能指标。 总之，理解gigaflops对任何对计算机领域感兴趣的人来说都是必不可少的。这个指标不仅帮助消费者对购买硬件做出明智的决策，还帮助专业人士评估其系统在特定应用中的能力。随着我们不断推动技术的边界，gigaflops的相关性只会增加，突显出在我们日益数字化的世界中高效计算的重要性。无论是用于游戏、科学研究还是推进AI，对更高gigaflops的追求仍然是推动科技行业创新的动力。