The increase will mean a significant increase in throughput, allowing the soviets to transport more gas per kilometre of pipeline. What is the meaning of high throughput? High throughput screening (HTS) is the use of automated equipment to rapidly test thousands to millions of samples for biologic...
Throughput's meaning is derived from the words it is constituted of, though the term comes from Scottish slang, dating back to 1808, but has been used in an industrial sense since 1915. Another word for throughput is flowrate, as the concept involves the rate at which product can flow dow...
Uncover the meaning of throughput in performance testing. Gain insights into its role in measuring system performance and enhancing overall efficiency.
We view the file as including the packet headers, and we take throughput as meaning the network-level throughput rather than the user-level throughput. We can obtain the user throughput by multiplying the network throughput by the fraction of transferred bits that correspond to user data. Read ...
Assume for the sake of argument that during a resource matrix, [Math Processing Error]K stations will continue to actively broadcast, meaning that they will deposit their parts in the matrix, and that a total of [Math Processing Error]BK resource blocks inside the matrix are now being used....
SMT processors are throughput-oriented processors, meaning that they allow increasing the number of executed instructions per cycle over single-threaded processors. In this section, throughput is analyzed from two main perspectives: committed instructions per cycle and issue port utilization. ...
Neural networks have been successfully applied to protein sequence tasks, including VEP. The lack of large scale labelled pathogenic variants makes directly training a deep learning VEP difficult, meaning they generally also use evolutionary conservation as a proxy for deleteriousness. For example, Deep...
This causes the server to listen on a group address, meaning it sends an IGMP report to the connected network device. On the client side, be sure to create a static route for the multicast range, with a next hop toward the network devices under test (let's assume ...
Anembedding modeltransforms diverse data — such as text, images, charts and video — into numerical vectors, stored in a vector database, while capturing their meaning and nuance. Embedding models are fast and computationally less expensive than traditional large language models, or LLMs. ...
The same concept can be conveyed in a multitude of ways, and the context in which a term is used can significantly alter its meaning. It is therefore essential that text mining tools are highly sophisticated in order to accurately interpret and extract relevant information. Furthermore, it is ...