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Comparison of ASIC computing power

Publish: 2021-04-29 11:16:18
1.

bitcoin uses SHA-256 encryption algorithm. When mining, it competes with computing power. In order to improve computing power, bitcoin has gone through four stages: CPU mining, GPU mining, FPGA mining and now ASIC mining machine mining, and the degree of specialization is getting higher and higher

Ethereum uses the ethash encryption algorithm. In the process of mining, it needs to read the memory and store the DAG file. Because the bandwidth of each read memory is limited, and the existing computer technology is difficult to have a qualitative breakthrough in this problem, so no matter how to improve the computing efficiency of the computer, the memory read efficiency will not be greatly improved. Therefore, in a sense, Ethereum's ethash encryption algorithm is ASIC resistant.

different encryption algorithms lead to great differences in mining equipment and computing power between bitcoin and Ethereum

at present, bitcoin mining equipment is mainly ASIC mining machine with a very high degree of specialization. The maximum computing power of a single mining machine is 110t / s, and the scale of computing power of the whole network is more than 120eh / s

the main mining equipment of Ethereum is video card miner, and there are very few specialized ASIC miner. On the one hand, the "ASIC resistance" of Ethereum mining algorithm improves the threshold of developing ASIC miner. On the other hand, after Ethereum is upgraded to 2.0, the consensus mechanism will be transformed into POS, and the miner can not continue mining

compared with the ASIC miner, the graphics card miner has two orders of magnitude difference in computing power. At present, the computing power of mainstream graphics card miner (8 cards) is about 420mh / s, and that of Ethereum is about 230th / s.

from the time dimension of the past two years, bitcoin's computing power of the whole network is growing rapidly, while Ethereum's computing power of the whole network is growing relatively slowly

The ASIC mining machine of

bitcoin is monopolized by several major mining machine manufacturers, and miners can only buy it from the market; Although the graphics card miner of Ethereum is also manufactured by a special miner, the miner can buy accessories from the market and assemble them according to his own demand

2. In January 2013, Avalon released the 60g / s miner specification and accepted the booking. In January 2013, Avalon delivered the world's first commercial bitcoin ASIC miner, and the core developer of bitcoin network, Jeff
garzik, was fortunate to be the owner of the first commercial ASIC miner.
the most difficult mining problem was 0, and the computing power was about 2p at the beginning of 2013, and now it has reached 100p
3.

The types of chips that provide computing power for AI include GPU, FPGA and ASIC

GPU is a kind of microprocessor specialized in image operation on personal computers, workstations, game machines and some mobile devices (such as tablet computers, smart phones, etc.). It is similar to Cu, except that GPU is designed to perform complex mathematical and geometric calculations, which are necessary for graphics rendering

FPGA can complete any digital device function chip, even high-performance CPU can be implemented with FPGA. In 2015, Intel acquired the FPGA long alter head with us $16.1 billion. One of its purposes is to focus on the development of FPGA's special computing power in the field of artificial intelligence in the future

ASIC refers to the integrated circuits designed and manufactured according to the requirements of specific users or the needs of specific electronic systems. Strictly speaking, ASIC is a special chip, which is different from the traditional general chip. It's a chip specially designed for a specific need. The TPU that Google recently exposed for AI deep learning computing is also an ASIC

extended data:

chips are also called integrated circuits. According to different functions, they can be divided into many kinds, including those responsible for power supply voltage output control, audio and video processing, and complex operation processing. The algorithm can only run with the help of chips, and because each chip has different computing power in different scenarios, the processing speed and energy consumption of the algorithm are also different. Today, with the rapid development of the artificial intelligence market, people are looking for chips that can make the deep learning algorithm perform faster and with lower energy consumption

4. GPU is the meaning of graph line processor, the original design intention is to do graphics computing. GPU chip is essentially a collection of many small CPUs for image processing. Of course, each CPU can also do general operations such as addition, subtraction, multiplication, division or non shift jump, so it can also be used for mining. When GPU is mining, it wastes less chip area and power consumption than CPU, so mining efficiency is higher than CPU
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.
5. A card has high computing power. The computing power of rx480 after brushing the BIOS is equal to that of gtx1070, and the price is cheap
6.

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

7. The input of computing power depends on the price dynamically. This kind of calculation is unscientific
8. Graphics processing unit (GPU), also known as display core, vision processor and display chip, is a kind of microprocessor which is specialized in image operation on personal computers, workstations, game machines and some mobile devices (such as tablet computers, smart phones, etc.)

  • the embedded neural network processor (NPU) adopts the architecture of "data driven parallel computing", and is especially good at processing massive multimedia data such as video and image

  • ASIC is considered as a kind of integrated circuit designed for special purpose. It refers to the integrated circuits designed and manufactured according to the requirements of specific users and the needs of specific electronic systems

  • < / OL >

    extended data:

    GPU is different from DSP (digital signal processing) architecture in several aspects. All of its calculations use floating-point algorithm, and there is no bit or integer operation instruction at the moment. In addition, because GPU is specially designed for image processing, the storage system is actually a two-dimensional segmented storage space, including a segment number (from which the image is read) and a two-dimensional address (x, y coordinates in the image). In addition, there are no indirect write instructions. The output write address is determined by the raster processor and cannot be changed by the program. This is a great challenge for algorithms that are naturally distributed in memory. Finally, communication is not allowed between the processes of different fragments. In fact, the fragment processor is a SIMD data parallel execution unit, which executes code independently in all fragments

    9. Bitcoin is a consensus network, contributing to a new payment system and a fully digital currency. It is the first decentralized peer-to-peer payment network, which is controlled by its users without a central management organization or middleman. From the user's point of view, bitcoin is much like Internet cash. Bitcoin can also be regarded as the most outstanding three style bookkeeping system

    bitcoin is proced by mining. Mining is a process of consuming computing resources to process transactions, ensuring network security and keeping everyone's information synchronized in the network. It can be understood as the data center of bitcoin. The difference lies in its completely decentralized design. Miners operate all over the world, and no one can control the network. This process is called "mining" because it is similar to gold panning, because it is also a temporary mechanism for issuing new bitcoin. However, unlike gold panning, bitcoin mining provides rewards for services that ensure the safe operation of payment networks. After the last bitcoin, mining is still necessary. At present, mining needs professional ASIC bitcoin miner, and the overall performance of Avalon III miner, the mainstream miner in the market, is still in a leading position

    bitcoin was created by a man named Nakamoto, who interrupted the development and maintenance of bitcoin in 2010 and disappeared in the bitcoin circle. The total number of bitcoin is 21 million. At present, about 13 million bitcoins have been mined, and the mining was completed in 2140

    netizen Yi Tingting 474 also answered correctly.
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