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In the CPU, the Core virtual version is called a Processor threads, which divides the physical core of a CPU into virtual multiple cores. A thread is also known as a lightweight process. which is typically a part of the Operating System. A single CPU core can have up to 2 threads per core. hyper-threading and multithreading technologies are used for breaking up physical cores into virtual cores it means threads increase performance. Intel CPUs use hyper-threading to create a thread, and AMD CPUs use simultaneous multithreading(SMT)To create a thread.

For example, AMD processors with 8 cores use simultaneous multithreadingto provide sixteen threads, and Intel processors with sixteen cores use hyper-threading to provide thirty-two threads. These methods have a huge effect on complete processor performance, as you can understand check any CPU benchmark.

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How threads work in CPU

The threads are always generated by the core(operating System gives instructions to the CPU) for the execution of a task of a specific application. several times you open one application, the core creates a thread that will handle all the tasks of that specific application. If you use more applications it creates more threads for handling more applications.

CPU Cores vs Threads — Two core and Four Threads Working

If you want to browse for some information on the internet a core creates a thread that allocates the task to it. when a core gets the task(Copy file from one place to another place) from the user, creates another thread, allocates the task to it. Similarly If you want to watch a movie it forms the third thread and allocates the task to it. If it gets another instruction chating,it forms the fourth thread and allocates the task to it. The Totally dual-core processor creates four threads for complete four tasks.

Advantages of Threads in CPU

Approachability: If the process is broken up into several threads, each thread’s output can be returned right away when it has finished running.
Throughput of the system: When a process is split up into numerous threads, with each thread function being treated as a separate task, the number of jobs performed in a given amount of time increases, boosting the system’s throughput.
. If a process contains many threads, we can schedule those threads to run on different processors. As a result, processes will run more quickly. It will make the process completing faster
Resource sharing: All threads inside a process may share resources like code, data, and files.
Communication: The fact that numerous threads share an address space makes communication between them simpler.
Faster context switch

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