What is the use of multi-threading in CPU?

The uses of CPU multi-threading: 1. Allow multiple threads on the same processor to execute simultaneously and share the execution resources of the processor; 2. Maximize the realization of wide-emission, out-of-order superscalar processing; 3. Improve the utilization of the processor's computing components; 4. Alleviate the memory access delay caused by data correlation or Cache misses.

CPU multi-threading, referred to as SMT, allows multiple threads on the same processor to execute simultaneously and share the processor by copying the structural state on the processor. Execution resources can maximize wide-issue, out-of-order superscalar processing, improve the utilization of processor computing components, and alleviate memory access delays caused by data correlation or cache misses.

Note:When multiple threads are not available, the SMT processor is almost the same as a traditional wide-issue superscalar processor.

CPU's multi-threading technology can prepare more data to be processed for the high-speed computing core and reduce the idle time of the computing core; it solves the load balancing problem, makes full use of CPU resources, and improves CPU usage. Using multi-threading, several things can be completed at the same time without interfering with each other, which shortens the time it takes to deal with a large number of IO operations or situations.

Benefits of multi-threading:

1. Using threads can put tasks in long-term programs into the background for processing

2. The user interface is more attractive, so that if the user clicks a button to trigger the processing of an event, a progress bar can pop up to show the progress of the processing

3. The running efficiency of the program may be Will improve

4. Threads are more useful in implementing some waiting tasks such as user input, file reading and network sending and receiving data.

Disadvantages of multi-threading:

1. If there are a large number of threads, it will affect performance because the operating system needs to switch between them.

2 , More threads require more memory space

3. Thread suspension needs to consider the impact on program running.

4. Usually block model data is in multiple Shared between threads, it is necessary to prevent the occurrence of thread deadlock

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