Computing power of desktop
computing power is a measure of bitcoin network processing power. That is, the speed at which the computer calculates the output of the hash function. Bitcoin networks must perform intensive mathematical and encryption related operations for security purposes. For example, when the network reaches a hash rate of 10th / s, it can perform 10 trillion calculations per second
in the process of getting bitcoin through "mining", we need to find its corresponding solution M. for any 64 bit hash value, there is no fixed algorithm to find its solution M. we can only rely on computer random hash collisions. How many hash collisions can a mining machine do per second is the representative of its "computing power", and the unit is written as hash / s, This is called workload proof mechanism pow
< H2 > extended data
computing power provides a solid foundation for the development of big data, and the explosive growth of big data poses a huge challenge to the existing computing power. With the rapid accumulation of big data in the Internet era and the geometric growth of global data, the existing computing power can no longer meet the demand. According to IDC, 90% of the global information data is generated in recent years. And by 2020, about 40% of the information will be stored by cloud computing service providers, of which 1 / 3 of the data has value
therefore, the development of computing power is imminent, otherwise it will greatly restrict the development and application of artificial intelligence. There is a big gap between China and the advanced level of the world in terms of computing power and algorithm. The core of computing power is the chip. Therefore, it is necessary to increase R & D investment in the field of computing power to narrow or even catch up with the gap with the developed countries in the world
unit of force
1 KH / S = 1000 hashes per second
1 MH / S = 1000000 hashes per second
1 GH / S = 1000000000 hashes per second
1 th / S = 100000000000 hashes per second
1 pH / S = 100000000000 hashes per second
1 eh / S = 100000000000 hashes per second
2. The computing power of desktop computers using mobile phones requires the support of hardware and software
3. If you are interested, you can study SETI's software and use computer computing resources all over the world to search for aliens
MPE, 8gflops
CPE, 11gflops
the peak computing power of Shenwei Taihu Lake light system reaches 100pflops<
it is necessary to mention here that floating-point computing power refers to the processing power of computer floating-point computing, and the computer has a special floating-point processor FPU for floating-point processing.
home computer 2G Hz, 4G Hz refers to the dominant frequency of the computer, the dominant frequency is 4G Hz, and the floating-point processing power of the computer is about 4gflops. However, the dominant frequency is not equal to floating-point processing power
dominant frequency means the number of computer clock cycles per second. The more processing per second, the more powerful the computer is
the main frequency of CPU does not represent the processing power of CPU and the influence of instruction pipeline on the processing power of CPU
clock cycle is the basic unit of CPU operation, and a floating-point calculation may need several to dozens of clock cycles. So the relationship between the dominant frequency and floating-point processing power is obvious.
single precision floating-point operation capacity of about 7400g flops
double precision floating-point operation capacity of about 235g flops (double precision is 32 times of single precision)
video memory write speed and read speed of about 12gb / S, speed of about 210gb / s
each 980ti parameter is different, this value is only for reference. It's about that level.
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
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