Traducción y análisis de palabras por inteligencia artificial ChatGPT
En esta página puede obtener un análisis detallado de una palabra o frase, producido utilizando la mejor tecnología de inteligencia artificial hasta la fecha:
- cómo se usa la palabra
- frecuencia de uso
- se utiliza con más frecuencia en el habla oral o escrita
- opciones de traducción
- ejemplos de uso (varias frases con traducción)
- etimología
End Of Thread - traducción al italiano
![BA]] standards are discussed. The SAE series was not mentioned—at the time this edition of the ''Handbook'' was being compiled, they were either still in development or just newly introduced.](https://commons.wikimedia.org/wiki/Special:FilePath/American Machinists Handbook--2e--p21--v001.png?width=200 "BA]] standards are discussed. The SAE series was not mentioned—at the time this edition of the ''Handbook'' was being compiled, they were either still in development or just newly introduced.")
![The basic profile of all [[UTS thread]]s is the same as that of all [[ISO metric screw thread]]s. Only the commonly used values for ''D''<sub>maj</sub> and ''P'' differ between the two standards.](https://commons.wikimedia.org/wiki/Special:FilePath/ISO and UTS Thread Dimensions.svg?width=200 "The basic profile of all [[UTS thread]]s is the same as that of all [[ISO metric screw thread]]s. Only the commonly used values for ''D''<sub>maj</sub> and ''P'' differ between the two standards.")
![SAE]] standards (including screw size standards), reported in the journal ''Horseless Age'', 1916](https://commons.wikimedia.org/wiki/Special:FilePath/Survey results on use of SAE standards Horseless Age v37 n9 1916-05-01 p353.png?width=200 "SAE]] standards (including screw size standards), reported in the journal ''Horseless Age'', 1916")
Definición
Wikipedia
In computer programming, a thread pool is a software design pattern for achieving concurrency of execution in a computer program. Often also called a replicated workers or worker-crew model, a thread pool maintains multiple threads waiting for tasks to be allocated for concurrent execution by the supervising program. By maintaining a pool of threads, the model increases performance and avoids latency in execution due to frequent creation and destruction of threads for short-lived tasks. The number of available threads is tuned to the computing resources available to the program, such as a parallel task queue after completion of execution.
