What does the unit of force mean
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.
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 the computer's 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 the so-called proof of work mechanism (POW)
recently, bitcoin's network computing power has entered the era of P computing power (1P = 1024t, 1t = 1024g, 1g = 1024m, 1m = 1024k). In the ever-increasing computing power environment, the arrival of P era means that bitcoin has entered a new stage of arms race
computing power is a measure of the total computing power of the unit that generates new blocks under certain network consumption. The single blockchain of each coin varies with the time required to generate a new transaction block.
for example, all kinds of mining machines sold by digyi mining have high computing power and low energy consumption, so you can consult.
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1 bar = 105 Pa. 1 pa is the abbreviation of 1 Pascal, which means that a square meter is subjected to a pressure of one newton
kilogram force is still used in engineering, 1 kilogram force is equal to 10 Newton
1bar = 1 kilogram / square meter
bar is pressure unit, kilogram is weight unit, which can be regarded as force unit, and force unit divided by area unit is pressure unit
the scientific international system of units generally uses Pascal (PA) as the unit, but bar, psi, mmHg and even water column are commonly used as the unit in engineering. It's very messy, but it's easy to use as an engineer
Pascal and mmHg are used in school books, which are different from those in mechanical instry, hydraulic engineering and engineering.
MT / cm appears in the waterline section of the ship's hydrostatic data, which is abbreviated as TP1 (or TPC), which means the change of displacement caused by each change of 1cm draft under the current draft
Or to see how much, if the single graphics card exceeds 2150, the power consumption of the whole machine in the stress test video given by netizens in station B is 410W, multiplied by the conversion efficiency, the actual load is 340W. The power consumption is about 320W, so 450W power supply is more than enough. Now it seems that everyone has the fear of power shortage
it is recommended to start at 550W and always use 700W power supply. I feel that this is the so-called fear of the unknown. On the power supply, a reliable 450W is almost enough, and the power supply saves the most electricity when the load is about 80%. Reliable power supply has the similar function of Rui frequency, short-time power output can exceed 10% of the rated power
< H2 > extended data:
for any given CPU, the performance improvement of overclocking is basically the frequency improvement. Of course, limited by the performance bottleneck of other devices such as memory, graphics card and hard disk, only the application of pure CPU computing (such as the theoretical test of various test software) can achieve such a performance improvement
Obviously, with the same CPU, the motherboard has good heat dissipation and high power, which can run over 5.2g; Now you take back the second-hand power, the motherboard cooling power is not as good as others, super 5g from time to time, the blue screen can only drop to 4.9g, the performance improvement range is different. In addition, even with the same configuration, each constitution is different, which is why overclocking circles often talk about thunder and carvingthe increasing range of overclocking frequency mainly depends on the difference between the default frequency and the inflection point of energy consumption. Each generation of process and architecture usually has an inflection point frequency. When the frequency is higher than this, the CPU needs to greatly increase the voltage to work stably. At the same time, the power consumption and heating will increase rapidly, and the conventional cooling conditions can not break through the inflection point of energy consumption