visualized gather - significado y definición. Qué es visualized gather
Diclib.com
Diccionario ChatGPT
Ingrese una palabra o frase en cualquier idioma 👆
Idioma:

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

Qué (quién) es visualized gather - definición

Scatter/Gather I/O; Scatter gather; Scatter-gather; Scatter/gather; Scatter/gather I/O; Scatter-gather I/O

We'll Gather Lilacs         
ORIGINAL SHOW TUNE WRITTEN AND COMPOSED BY IVOR NOVELLO; FROM THE 1945 MUSICAL "PERCHANCE TO DREAM"
We'll Gather Lilacs in the Spring; We'll gather Lilacs in the Spring
We'll Gather Lilacs, also called We'll Gather Lilacs In The Spring, is a song by Welsh composer Ivor Novello which he wrote for the hit musical romance Perchance to Dream. The stage musical opened at the Hippodrome Theatre in London's West End in 1945 and ran until 1948.
Gather (sewing)         
  • This photo shows a quick and easy method of machine gathering. This zigzag gathering technique is the strongest and most sturdy method of [http://www.lovetosew.com/seamgathering.htm gathering].
A SEWING TECHNIQUE FOR SHORTENING THE LENGTH OF A STRIP OF FABRIC
Gather (clothing); Gathering (sewing)
Gathering is a sewing technique for shortening the length of a strip of fabric so that the longer piece can be attached to a shorter piece. It is commonly used in clothing to manage fullness, as when a full sleeve is attached to the armscye or cuff of a shirt, or when a skirt is attached to a bodice.
Gathered         
WIKIMEDIA DISAMBIGUATION PAGE
Gathering; Gatherer; Gathered; Gatherers; Gather (disambiguation); Gathering (disambiguation)
·Impf & ·p.p. of Gather.

Wikipedia

Vectored I/O

In computing, vectored I/O, also known as scatter/gather I/O, is a method of input and output by which a single procedure call sequentially reads data from multiple buffers and writes it to a single data stream, or reads data from a data stream and writes it to multiple buffers, as defined in a vector of buffers. Scatter/gather refers to the process of gathering data from, or scattering data into, the given set of buffers. Vectored I/O can operate synchronously or asynchronously. The main reasons for using vectored I/O are efficiency and convenience.

Vectored I/O has several potential uses:

  • Atomicity: if the particular vectored I/O implementation supports atomicity, a process can write into or read from a set of buffers to or from a file without risk that another thread or process might perform I/O on the same file between the first process' reads or writes, thereby corrupting the file or compromising the integrity of the input
  • Concatenating output: an application that wants to write non-sequentially placed data in memory can do so in one vectored I/O operation. For example, writing a fixed-size header and its associated payload data that are placed non-sequentially in memory can be done by a single vectored I/O operation without first concatenating the header and the payload to another buffer
  • Efficiency: one vectored I/O read or write can replace many ordinary reads or writes, and thus save on the overhead involved in syscalls
  • Splitting input: when reading data held in a format that defines a fixed-size header, one can use a vector of buffers in which the first buffer is the size of that header; and the second buffer will contain the data associated with the header

Standards bodies document the applicable functions readv and writev in POSIX 1003.1-2001 and the Single UNIX Specification version 2. The Windows API has analogous functions ReadFileScatter and WriteFileGather; however, unlike the POSIX functions, they require the alignment of each buffer on a memory page. Winsock provides separate WSASend and WSARecv functions without this requirement.

While working directly with a vector of buffers can be significantly harder than working with a single buffer, using higher-level APIs for working efficiently can mitigate the difficulties.