How to dig BTC for graphics card
21.5 * 3600 seconds * 24 hours = 1857600 M / day
1857600 / 1024 / 1024 = 1.7715 T / day
a t of computing power / day can dig bitcoin worth 4.03 yuan
1.7715 * 4.03 = 7.14 yuan / day
since 2017, bitcoin has reached new heights. Yesterday (May 23), the value of bitcoin broke through the ¥ 16000 mark, hyping virtual currency, becoming a matter that the general public can participate in, And a little bit of technical level, both fried money, but also began to have the technical content of mining
as we all know, virtual currency has a numerical peak, the more difficult it is to dig. In fact, it's hard to judge whether to lose money or not if we continue to dig. Therefore, in the end how to dig, dig what can be the fastest back to this, this paper studies the above two core issues based on the current market situation
there are some points for attention in account setting. It is suggested to set a common account in e-mail
then there is the most important miner account setting. Miner obviously refers to CPU or GPU. You need to set an account for each CPU or GPU. Suppose you have two hd7990, you need to set four different accounts for four GPUs
after the account registration, it's time to take the second step. Download the bitcoin miner. Here we recommend the small and easy-to-use guiminer, which can support CPU, oepncl, CUDA and other computing modes. Your CPU and graphics card can achieve maximum performance
guiminer, a bitcoin miner, still needs to make certain settings. After the interface is changed to Chinese, it will be very simple
if the setting is correct, click the "start mining" button, the graphics card will soon enter the full speed running state, the temperature and fan speed will increase, and you can also monitor the state through gpu-z or graphics card driver
the computing power displayed by guiminer is only a theoretical value. To know the actual output of bitcoin, you need to log in to the mine pool website, btcguild, to monitor your account information
now let's assume that you have g up several bitcoins, which naturally exist in btcguild, a foreigner's website. They can't be traded or converted into paper money for the time being
the functions provided by bitcoin China trading platform are clear at a glance, and you can understand them as soon as you read them, so you don't need to introce them any more. After you register, you can study them slowly
click the "bitcoin recharge" function of bitcoin China trading platform, and the system will provide you with a one-time bitcoin digital wallet address. This address can only be recharged once (for security reasons of the platform). After successful recharge, it will be invalid, and then the system will provide you with another address. Remember to update the wallet address in time every time, Otherwise, it will lead to recharge failure or loss
OK, now we import bitcoin from foreign websites into bitcoin China website, and it's up to you to deal with it. Keep it for appreciation, listing and selling, and exchange it for RMB. Specific how to operate, this Chinese website is easy to operate, we slowly study it
finally, let's talk about the equipment used in the bitcoin mining test. At first, I thought it was just an ordinary hd7870, but its computing power was much better than that of the ordinary hd7870. The key is that guiminer recognized it as the Tahiti core, which is the only core of hd7900 series. Looking at gpu-z, the card originally had as many as 1536 stream processors, Generally, the hd7870 of Pitcairn core has only 1280 stream processors. No wonder Dylan's graphics card has super computing power
for friends who hang up for a long time, performance is not the most important, and stability is the most important.
The steps are as follows:
1. Add a mine pool. 2. Download the software. 3. Start digging after setting
however, it is suggested that the building owner give up and dig bitcoin mainly depends on the GPU, that is, the processing chip on the graphics card. The home computer integrated graphics card can't be g at all. If the independent graphics card is NVIDIA chip, it's basically useless, because the most computing power is 160m / s
according to the income ratio, the calculation power of the machine is less than 8g / S (8192m / s), even the electricity fee is not enough, so it's meaningless to dig with a home computer for more than ten yuan a month. If you really want to dig, you should buy a mining machine
the architecture of a card is different from that of N card. AMD is a brute force heap stream processor without considering the operation efficiency, while NVIDIA greatly improves the operation efficiency, but the number of stream processors is small. The final result is that both sides have their own advantages, and they are almost tied in all kinds of 3D games. In general computing applications, n-card has the upper hand, but the leading advantage of n-card may not be the problem of efficiency, but the software optimization and program development are in place
bitcoin digger adopts SHA-256 algorithm, which can perform a large number of 32-bit integer cyclic right shift operations. This operation can be implemented by a single hardware instruction in AMD GPU, while it needs three hardware instructions to simulate (2 Shift + 1 add) in NVIDIA GPU, This one alone brings amd an additional 1.7x computing efficiency advantage (about 1900 instructions to perform SHA-256 compression operation, rather than about 3250 instructions from NVIDIA)
in this way, AMD's high floating-point computing power and algorithm efficiency advantages make the performance of AMD GPU in password cracking and bitcoin mining more than three times that of NVIDIA GPU!
GPU is used for general purpose computing. 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. The actions in bitcoin can be regarded as the use of graphics card to do continuous general computing, and the computational complexity is relatively low and quite repetitive. The stream processor used by graphics card is just suitable for such an algorithm.
