Introduction to computing power
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
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
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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.
there is also a model called cloud computing power, which is derived from the traditional use of mining machine to mine. It is in Sichuan, Xinjiang, Tibet and other places with abundant and cheap power resources, such as wind power generation and water conservancy power generation, that large-scale mines are built and maintained by professional personnel. If ordinary people participate in mining, they don't need to buy mining machines in person. They just need to buy the corresponding computing power to get bitcoin and Ethereum! This model is called cloud computing power!
computing power refers to computing power, refers to that 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". The unit is written as hash / s, which is the so-called proof of work mechanism (POW)
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According to the theory of mechanics, computational mechanics is a new subject which uses modern computer and various numerical methods to solve practical problems in mechanics. It traverses all branches of mechanics, constantly expands the scope of research and application of mechanics in various fields, and graally develops its own theories and methods. The application scope of computational mechanics has been extended to solid mechanics, geotechnical mechanics, hydraulics, fluid mechanics, biomechanics and other fields. Computational mechanics focuses on the study of numerical methods, such as the further study of finite difference method and finite element method, and the exploration of some new methods and basic theoretical problems. Computational mechanics traverses all branches of mechanics, serves them, promotes their development, and is also influenced by them