Computing power per second

1.

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. Computing power refers to computing power. 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", Unit is written as hash / s, which is the so-called workload proof mechanism pow (proof
of
work)
What does 1p mean
first of all, 1p computing power is equivalent to about 1.05 million g, which means that if you have 1g computing power of the whole network, you can get almost 1.05 million of bitcoin output of the whole network. According to the output of 3800 bitcoins per day, we can see that the daily income of 1g of computing power has dropped to 0.0036 bitcoins, which is about 2.7 yuan according to the current market price. If the electricity cost and mining machinery hardware cost are included, the profit is almost gone
secondly, 1p's whole network computing power seems amazing, but in fact, in a year's time, you will think it's just a pediatrics, because cointera will launch 2p miner in December, and bitmine will launch 4P miner in March next year. If these companies are not put in biochemical weapons by Syria, it should be expected that bitcoin's whole network computing power will reach more than 10p in a year's time, By then, 1g of computing power will only be able to dig 0.00036 bitcoins a day.

3. According to the current mining difficulty, this computing power is basically unable to dig bitcoin. The calculation power is too small. Taking avalon2, the mainstream mole in the market, for example, 100g can only dig 0.0063 bitcoins a day. If you want to mine bitcoin, you need to buy the latest ASIC miner, and the energy consumption must be low. Otherwise, even if the example is high, no matter how much bitcoin you dig, you will be unprofitable, because the cost is too high. Of course, if the electricity charge is free, it is OK. Purchase mining machine to consider the overall mining machine, want to see if they have profits. It is suggested that you buy Avalon third generation miner for mining. I hope I can help you. Good luck!

4. Operations can't be counted as 1 + 1.. Because the result will exceed the output bandwidth
generally, complex operations are used for testing.. For example, in Fritz's chess, the results are output according to the number of steps per second and the multiple of P4 computing power, which is also inaccurate because the computing efficiency also involves software programming.

5. CPU peak computing power (floating point operations per second) = CPU frequency × Number of CPU cores × Floating point unit number

i7 975 EE:

3.33ghz * 4 * 4 = 53.28 gflops

that is, 53.28g floating-point instructions can be executed in one second<

i7 980X extreme:

3.33ghz * 6 * 4 = 79.92 gflops

that is, i7 975 EE has 53.28 billion peak calculations per second, while i7 980X extreme has 79.92 billion peak calculations per second.

6. Any computer can be g with a graphics card. Now it's mining machine. Under the influence of mining tide, the price of graphics card has risen sharply all over the world, and even led to a slight rise in the price of other computer hardware. Due to the lack of graphics card proction capacity, some miners have focused on RTX 30 series game books and used laptops to mine. Recently, Yifan Gu, a software developer, successfully realized Ethereum mining with M1 MacBook Air, and announced the method in GitHub
in fact, this is not the first time for M1 processor to mine. As early as last December, xmrig developers began to use M1 Mac to mine Monroe coins. However, the mining efficiency of M1 MacBook Air is very low. According to Gu Yifan's test, the mining efficiency of Ethereum is only 2mh / s, and the power consumption is 17-20w. Compared with NVIDIA graphics card, the average daily income is only US $0.14<

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7. 1. Giga, abbreviated as G, is the prefix of quantity, which means 10 ^ 9, that is, 1 billion. For example, 9g is 9 billion., 2, the unit of floating-point computing power is flops (i.e. "floating point operations per second", "peak speed per second"), not "float". Short for floating-point operations per second. It is often used to estimate the performance of computer, especially in the field of scientific computing which uses a large number of floating-point operations. Because the s at the end of flops stands for seconds, not plurals, so it can't be omitted
the so-called "floating-point operation" here actually includes all operations involving decimals. This kind of operation often appears in some kind of application software, and they also take more time than integer operation. Most of today's processors have a special "floating point unit" (FPU) for processing floating-point operations. Therefore, what flops measures is actually the execution speed of FPU. Linpack is one of the most commonly used benchmarks to measure flops
3. Gigaflops is one billion floating-point operations per second, which is also the unit to describe the floating-point computing capacity of computers. The mainstream CPU is generally between 20-60 gflops.

8.

bus line: Metro Line 2, the whole journey is about 6.5km

1. Walk about 800m from Cheng east railway station to Cheng East Railway Station

2. Take Metro Line 2, pass 4 stops to niuwangmiao station

3. Walk about 630m to Tianfu international

9. With so much funding, it is certainly not illegal. Those who are protected by law should have been investigated for violation of the law. Catch the traitor and catch the double

10. Take bus no.544 from the first section of Huafu avenue to the subway Huayang station, get off and walk forward to the government affairs service center of Tianfu new area