ASIC mining software
at present, bitcoin mining needs professional mining machines. Now bitcoin mining is a very professional thing. Retail mining has been graally eliminated, and bitcoin mining is graally mastered by several major mining machine manufacturers and owners
as long as the digital currency allows mining, it is OK to mine anywhere. As long as the network can be connected, mining generally uses ordinary computer or graphics card or professional ASIC mining machine
some digital currencies do not need to be mined, but are pre mined in advance, such as Ruitai, but Ruitai is a kind of asset mortgage certificate. Of course, most of the others need to be obtained through mining, such as Wright coin and thousand gold card mining.
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.
What about ASIC? It is a more optimized circuit than the CPU mentioned above. There is no specific definition, but there is a rule in the field of chip design: the more general computing platform, the less efficient it is to complete specific computing. ASIC is the most dedicated computing platform. If we understand this, we can come to such a basic conclusion: in the mining field, if we use the computing power proof mechanism, as long as the CPU can dig, ASIC can dig. No matter what algorithm is used, ASIC can dig. There is no reason that CPU can dig, but ASIC can't, So the biggest difference between GPU and ASIC is their specific computing power.
ASIC mining is often used in bitcoin mining, which belongs to computational power proof. Hard disk mining is a kind of storage mining
bitcoin mining is only for sha256 hash value calculation, with single function. Although CPU can calculate, it is not cost-effective in terms of cost and efficiency. Therefore, mining machinery enterprises have specially designed ASIC chips for sha256 (or other algorithms) calculation
IPFs hard disk mining, interstellar Aoyun mining machine belongs to this, two mining methods:
1, storage mining, what you need to contribute is hard disk storage space, the more hard disk space, the higher your mining capacity. That is, the size of hard disk capacity and the number of hard disks
2. What you need to contribute to search mining is to provide network bandwidth. The larger the network bandwidth, the higher your mining capacity
hard disk mining does not need the strong computing power of ASIC, and ASIC does not need much hard disk capacity
The main differences between 7Nm and 10nm are as follows:
1, gate length is different. The width of the gate formed on the CPU is also called the gate length. The 7Nm process can integrate more transistors into CPU and GPU, and make the processor have more functions and higher performance
2. Different power consumption. For 7Nm technology and 10nm technology, the volume of 7Nm will be smaller when the same number of transistors are plugged. The large volume of 10nm, because of the process problems, will lead to the larger capacitance of the original, the required voltage is higher than 7Nm, resulting in higher overall power consumption
performance:
the chip is composed of transistors. The smaller the process, the more transistors in the same area of the chip, and the stronger the natural performance. The performance of 7Nm is better than that of 10nm
take Huawei Qilin 980 as Qilin 970, where Qilin 980 is a chip with 7Nm process and Qilin 970 is a chip with 10nm process
first look at the number of transistors, Kirin 980 has 6.9 billion transistors, Kirin 970 has 5.5 billion transistors, an increase of about 25.5%. In terms of performance, it's not as simple as 25.5%, because it involves not only the number of transistors, but also the upgrade of CPU, GPU, NPU and other IP cores
in terms of specific values, for example, the running points of CPU, Qilin 980, GPU and NPU are about 50% higher, twice as high
extended data:
integrated circuits have two main advantages for discrete transistors: cost and performance. The low cost is e to the fact that the chip prints all the components as a unit through photolithography, rather than making only one transistor at a time. The high performance is e to the fast switching of components, which consumes less energy, because the components are small and close to each other. In 2006, the chip area ranged from a few square millimeters to 350 mm, with a million transistors per mm