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Hardware computing power of processor

Publish: 2021-05-10 21:44:44
1. Do you say PC? In my opinion, any computer has the ability of parallel computing. It depends on how you define it. Parallel computing and distributed system are both computing methods, not hardware specifications

each task in your operating system has a process, and each process is composed of many threads. If you've ever had an operating system class, you should have met multi threads programming. You let different threads cooperate to complete the same task, which is actually called parallel computing and distributed processing.

you can see that the projects of those parallel computing classes also run algorithms with ordinary computers, The key point is that you will simulate this environment. Just like those who run network algorithms use socket to simulate, they also use a PC to simulate the network of N workstations.

if you say multi-core CPU, First of all, you don't have access to the firmware of ordinary motherboards. So you have to buy a programmable board of general purpose, But if you want to buy a multi-core basic, you can't find it... Only in the laboratory can you have it... Even if you find it... I think that the money for that board is estimated to be several times of the tuition for you to go to graate school and then enter the laboratory...

in a word, if the software is implemented, today's PC should have no problem, As for how to start parallel computing mode, you need to read the datasheet of this board.

I don't agree with the above saying that there must be two cores, People with two brains can do parallel. But the left brain and the right brain of one brain are also parallel. When refining different neurons, the other completely independent neuron is also parallel. Parallel is a way to solve problems, an idea. Parallel computing was first proposed in 1912. I can't remember when the multi-core processor appeared, But after 2000, at least
2. Now, the gap between arm and x86 processor in floating-point computing power is still huge, not only by the architecture, but also by their different application directions
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