The number of download threads means the number of download cores; a thread is a single sequential control process in a program. Running multiple threads at the same time to complete different tasks in a single program is called multi-threading; the number of threads , will naturally affect the download speed, but the number of threads depends on the specific conditions of the server and the client.
#The operating environment of this tutorial: Windows 10 system, Dell G3 computer.
What does the number of download threads mean?
The number of threads is the number of cores. Earlier IE downloads used single-threaded download technology. It can be simply understood that there is only one bridge between the client and the server, and data transmission can only rely on this bridge. bridge to complete. You can think of this bridge as a thread.
A thread is a single sequential control process in a program. Running multiple threads at the same time to complete different tasks in a single program is called multi-threading. The number of threads will naturally affect the download speed, but the number of threads depends on the specific conditions of the server and the client.
Extended information
Threads are entities in the process. A process can have multiple threads, and a thread must have a parent process. The thread does not own system resources, only some data structures necessary for operation; it shares all resources owned by the process with other threads of the parent process. Threads can create and destroy threads to achieve concurrent execution of programs. Generally, threads have three basic states: ready, blocked and running.
In a multi-CPU system, different threads can run on different CPUs at the same time, even when they belong to the same process. Most operating systems that support multi-processors provide programming interfaces that allow processes to control the affinity between their own threads and each processor.
Sometimes, threads are also called lightweight processes. Just like processes, threads are independent, concurrent execution paths in the program. Each thread has its own stack, its own program counter, and its own local variables. However, threads within a process are less isolated from each other than separate processes. They share memory, file handles, and other state that each process should have.
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