Ethereum graphics card mining speedometer
Graphics cards can't dig out bitcoin right now. Your calculation power is the calculation power of Ethereum. The calculation method is also wrong
You can refer to the following, according to some commonly used graphics cards in the Internet bar market, sort out the price and calculation power of a related graphics card, as well as the expected return to the current period, It can be used as a reference:
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power consumption: 243w
computing power: 22.4m
price of graphics card: 1999 yuan
quantity of eth g every 24 hours: 0.015
revenue generated every 24 hours: 24.48 yuan
expected payback time: 81.66 days
power consumption: 159w
computing power: 24.3m
price of graphics card: 1599 yuan Yuan
number of eth g every 24 hours: 0.017
revenue generated every 24 hours: 27.9 yuan
estimated payback time: 57.31 days
total power consumption: 171w
computing power: 24.4m
price: 1999 yuan
number of eth g every 24 hours: 0.017
revenue generated every 24 hours: 27.87 yuan
estimated payback time: 71.73 days
Video card (graphics card) full name display interface card, also known as display adapter, is the most basic configuration of computer, one of the most important accessories. As an important part of the computer host, the graphics card is the equipment of digital to analog signal conversion, and it undertakes the task of output display graphics
the graphics card is connected to the main board of the computer, which converts the digital signal of the computer into an analog signal for the display. At the same time, the graphics card still has the ability of image processing, which can help the CPU work and improve the overall running speed. For those engaged in professional graphic design, graphics card is very important. Civil and military graphics chip suppliers mainly include amd (ultra micro semiconctor) and NVIDIA (NVIDIA). Today's TOP500 computer, including graphics card computing core. In scientific computing, graphics card is called display accelerator
Hardware
algorithm is difficult to solve in memory. In order to make DAG suitable for memory, each GPU needs 1-2gb of memory. If you get an error prompt: error GPU mining. GPU memory fragmentation? It means you don't have enough memory. GPU mining software is based on OpenCL, amd GPU will be faster than NVIDIA GPU of the same level. ASIC and FPGA are relatively inefficient, so they are blocked. To get OpenCL for chip integration platform, try:
amd SDK OpenCL
NVIDIA CUDA OpenCL
Ubuntu Linux settings
for this quick guide, you will need Ubuntu 14.04 or 15.04 and fglrx image driver. You can also use NVIDIA drives and other platforms, but you have to find your own way to get an effective OpenCL installation, such as genoil's ethminer fork
if you are using 15.04, go to & quot; Software and updates 〉 extra drives & quot; Set to & quot; Use the video driver & quot; from fglrx for AMD graphics accelerator
if you are using 14.04, go to & quot; Software and updates 〉 extra drives & quot; Set to & quot; Use the video driver & quot; from fglrx for AMD graphics accelerator;. Unfortunately, for some people, this method may not work, because there is a known program error in Ubuntu 14.04.02 that will prevent you from switching to the exclusive graphics drive necessary for GPU mining
therefore, if you encounter this program error, go to & quot; "Software and update" update & quot; Select & quot; Pre release reliable update proposal & quot;. Then, back to & quot; Software and updates 〉 extra drives & quot; Set to & quot; Use the video driver & quot; from fglrx for AMD graphics accelerator;. After restarting, it's worth checking that the drive is now properly installed (for example, by going to & quot; Additional drives & quot;)
no matter what you do, if you are using 14.04.02, once installed, do not change the drive or drive configuration. For example, the use of aticonfig – initial (especially the - F, - force option) will & quot; Destruction & quot; Your settings. If you accidentally change the configuration, you will need to uninstall the drive, restart, install the drive again and restart.
A卡
1. Power consumption: 243w; Calculation force: 22.4m; Price: 1999 yuan; The number of eth g every 24 hours: 0.015; Revenue generated every 24 hours: 24.8 yuan; Expected payback time: 81.66 days
2. Power consumption of the whole machine: 159w; Calculation force: 24.3m; Price: 1599 yuan; Number of eth g every 24 hours: 0.017; Revenue generated every 24 hours: 27.9 yuan; Expected payback time: 57.31 days
3. Power consumption: 171w; Calculation force: 24.4m; Revenue generated every 24 hours: 27.87 yuan; Expected payback time: 71.73 days
4. Power consumption: 97W; Calculation force: 9.2; Price: 999 yuan; Number of eth g every 24 hours: 0.006; Revenue generated every 24 hours: 10.09 yuan; Expected payback time: 99.1 days
extended data
mining machine risk
1. The problem of electricity charge
in order to make the graphics card full load for a long time, the power consumption will be quite high, and the electricity charge will be higher and higher. Many professional mines at home and abroad are operated in areas with extremely low electricity charges, such as hydropower stations, while more users can only mine at home or in ordinary mines, so the electricity charges are not cheap. Even in a certain residential area in Yunnan, there was a case of crazy mining, which led to a large area trip of the residential area, and the transformer was burned
2. Hardware expenditure
mining is actually a competition of performance and equipment. Some mining machines are composed of more such graphics card arrays. With dozens or even hundreds of graphics cards, the cost of hardware and other costs is very high, and there is a considerable expenditure in mining
3, currency security
the withdrawal of bitcoin requires hundreds of keys, and most people will record this long string of numbers on the computer, but the frequent problems such as hard disk damage will make the key permanently lost, which also leads to the loss of bitcoin
a PC needs to be configured to run the mining program. The main hardware includes: graphics card, motherboard, power supply, CPU, memory and hard disk
