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What does a thread mean?

2025-01-16 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Servers >

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Thread refers to what, many novices are not very clear about this, in order to help you solve this problem, the following editor will explain for you in detail, people with this need can come to learn, I hope you can gain something.

Thread (English: thread) is the smallest unit that the operating system can schedule operations. It is included in the process and is the actual operating unit of the process. A thread refers to a single order of control flow in a process, where multiple threads can be concurrent in a process, and each thread performs different tasks in parallel. It is also called lightweight process (lightweight processes) in Unix System V and SunOS, but lightweight process refers more to kernel thread (kernel thread) and user thread (user thread) is called thread.

Threads are the basic unit of independent scheduling and dispatch. Threads can be scheduled by the operating system kernel, such as Win32 threads; user threads scheduled by user processes, such as POSIX Thread; of Linux platform, or mixed scheduling by kernel and user processes, such as Windows 7 threads.

Multiple threads in the same process will share all the system resources in the process, such as virtual address space, file descriptors, signal processing, and so on. But multiple threads in the same process have their own call stack (call stack), their own register environment (register context), and their own thread local storage (thread-local storage).

A process can have many threads, each performing different tasks in parallel.

The advantage of using multithreaded programming on multicore or multi-CPU, or Hyper-threading-enabled CPU is obvious, that is, it increases the execution throughput of the program. On a single CPU single-core computer, using multi-threading technology, we can also separate the blocking part of the process responsible for IO processing and human-computer interaction from the part of intensive computing, and write special workhorse threads to perform intensive computing, thus improving the execution efficiency of the program.

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