When was the last time the graphics card dug up virtual currency
at present, the computing power of bitcoin in the whole network has reached 2.36 billion hash collisions per second, which is equivalent to the number of water droplets in more than 200000 50 meter long standard swimming pools. But even with such a large amount of computing power, it will take about 10 minutes to hit a hash value that meets the requirements
in 2012, bitcoin's output was halved for the first time, and in July 2016, bitcoin's output was halved for the second time. At present, 12.5 bitcoins are awarded for recording one page of account book. The next halving will take place around 2020, and the total number of bitcoins will not increase by 2040, with a total of 21 million. In other words, the difficulty of digging bitcoin is increasing, while the time required is increasing
Why use graphics card to mine
compared with CPU, GPU is used for general purpose calculation. So it can stack hundreds of stream processors awesome. Each stream processor is like a small CPU. Although its ability to run complex programs is far from the power of CPU, it can not support many processors, so the actual performance, especially the single precision floating point performance is much stronger than that of CPU. p> However, as we have mentioned before, a card is very suitable for general computing such as virtual currency because it has many stream processors, and the speed of obtaining specific solutions is much higher than that of N card. Therefore, many miners rush to buy a card to calculate virtual currency for profit
of course, with NVIDIA's Pascal graphics card, n card's ability in mining virtual currency is not as different as a card before. So in the current situation that a card is generally out of stock, those mid-range N cards have become the second choice for miners
What are the disadvantages of mine cardfinally, I want to talk about why we can't choose mine card when we are shopping for second-hand cards. Because the miners are mining bitcoin, the most important thing is to seek profits. Therefore, the graphics card they use is running and calculating all the time, and its strength is far greater than that of daily game applications. In other words, running such a calculation for one day is equivalent to running a graphics card for one month
in addition, the places where virtual currency is mined are mostly the places where multiple graphics cards gather. Thousands of graphics cards are constantly calculating in a room, and their heat is also quite huge. Miners can not choose the chassis with good heat dissipation conditions like ordinary consumers, so that the heat can be released smoothly. In this way, the graphics cards can still operate for 7 * 24 hours under high temperature conditions, It also deepens its aging degree
the result of doing so is that the graphics cards used for mining are lost prematurely. If you buy these graphics cards, the result will be unstable operation, restart and other things will continue to happen
moreover, at present, manufacturers also have strict requirements on mine cards, such as banning second-hand sales and shortening the shelf life. If users buy these mine card graphics cards, future maintenance will also be a big challenge
now, of course, there are still people mining. There are about 21 million bitcoins in total. At present, there are about 13 million bitcoins in the world, and there are 8 million left. However, now mining is basically large-scale integrated mining machine, and the era of graphics card mining ended at the end of last year, because with more and more bitcoin being g out, the difficulty of mining is increasing automatically, and large-scale mining equipment is manufactured in batches, resulting in that the computing power of graphics card can no longer generate positive benefits
for example, the current mining difficulty is 16818461371, and the computing power of a better graphics card such as ati5970 is 800mhash / s. It takes 2863 years to dig out a bitcoin. The computing power of the large-scale integrated miner can reach 2tash / s, and it will take more than a year to dig out a bitcoin. There are many manufacturers procing this kind of large mining machine all over the world, and the computing power is still improving. Only this kind of equipment has been put into use for more than 100000.
In recent weeks, the high-end GPUs of almost all major foreign retailers have been out of stock. The price of high-end graphics cards has been soaring, and the shortage does not seem to end soon. Behind the unprecedented shortage of GPU is the influx of miners who are engaged in the exploration boom of Ethereum, bitcoin and other cryptocurrencies. It is difficult for game players to obtain one card. NVIDIA even implements "two cards for single user"
the main culprit for the shortage of graphics cards is that high-end graphics cards are the best way to tap Ethernet and other non bitcoin cryptocurrencies. With the popularity of blockchain concept in recent weeks, the price of these cryptocurrencies has risen to an unprecedented height. A powerful graphics card can dig up a few dollars in cryptocurrency every day. Therefore, more and more amateur miners began to compete for graphics cards, resulting in the shortage and high price of graphics cards for other non currency people
not only there is no high-end graphics card to buy, but also the manufacturer has informed customers that the return policy of graphics card is suspended
I have done a similar paper assignment before, which is about audio-visual procts. I went to a lot of places to ask questions, but they either didn't want to answer or gave me very general data
1. Integer data (integer long)
both integer and long type values are integers. After users define a variable as an integer variable, they can only assign integers to the variable. Integers are faster than floating-point numbers and occupy less memory. Integer type values have a certain range, - 32768 ~ 32767, if beyond this range, we need to use long
2. Single double values
single and double values are floating-point values, which represent real numbers with decimals. Single precision can be accurate to seven bits, while double precision can be accurate to 15 bits. When users select these data types, they should pay attention to the value range of variables. And when the value is an integer, in order to speed up the operation, it is not necessary to define the variable as floating point. For large floating-point numbers, D, e format input and output can be used.