Computing power of operation card

1.

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

< H2 > extended data:

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

2. NVIDIA's SLI technology does not limit the number of graphics cards, but limits the graphics card itself. Because only high-end graphics cards support SLI technology, I believe you know that 760 is qualified, but 210 is completely bright, which has nothing to do with high-end graphics cards. Moreover, different cores cannot form SLI.

3. The main reason for GPU's strong computing power is that most of its circuits are arithmetic units. In fact, adders and multipliers are relatively small circuits. Even if they do many such operation units, they will not occupy too much chip area. And because other parts of GPU occupy a small area, it can also have more registers and caches to store data. On the one hand, CPU is so slow because it has a large number of units for processing other programs, such as branch loops, and because CPU processing requires a certain degree of flexibility, the structure of arithmetic logic unit of CPU is also much more complex. In short, in order to improve the processing speed of branch instructions, many components of CPU are used to do branch prediction, and correct and recover the results of Alu when the branch prediction error occurs. These greatly increase the complexity of the device
in addition, the current CPU design is also learning from GPU, that is, adding floating-point operation units with parallel computing and not so many control structures. For example, Intel's SSE Instruction set can perform four floating-point operations at the same time, and many registers have been added. In addition, if you want to learn GPU computing, you can download a CUDA SDK, which has very detailed instructions

4. APU series no matter which one can't compare with i5 4590, APU series focuses on strong performance. You should compare the fx8300 to the i5 4590. That's the same level

5.

At present, blockchain training courses in the market span a lot, and the course content and teaching form are also varied

bitcoin

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Super ledger project introction, fabric deployment and use, fabric configuration management, fabric architecture design, fabric CA application and configuration, application development practice

the Xueshuo innovation blockchain Technology Workstation of Lianqiao ecation online is the only approved "blockchain Technology Specialty" pilot workstation of "smart learning workshop 2020 Xueshuo innovation workstation" launched by the school planning, construction and development center of the Ministry of ecation of China. Based on providing diversified growth paths for students, the professional station promotes the reform of the training mode of the combination of professional degree research, proction, learning and research, and constructs the applied and compound talent training system

6. Dascoin was born on January 18, 2014, with a higher degree of anonymity than tecoin. Dascoin has three ways of transfer. One is ordinary transfer like bitcoin; Second, real-time trading. The transaction can be confirmed without the miner's packing confirmation, which can be realized in seconds; Third, anonymous trading. From the blockchain, we can't see who made the transfer with whom. How does dascoin conct anonymous transactions? In addition to ordinary nodes, there is another node called "master node" in Dasey coin. The master node can provide a series of services, such as anonymous transaction and instant payment. Traders who want to conct anonymous transactions initiate anonymous applications, and the master node mixes currency. Generally, three transactions are mixed together. For example, a table of people put all their money on the table, mix them together, and then take back the money of the corresponding face value, so that they don't know whose money you have. This is called mixed currency. After mixing money, the network does not know who transferred money to whom. At present, it can be purchased in the fire currency trading platform, and the number of digital assets is innovative. The price fluctuates greatly. We need to judge our investment ability rationally and make investment decisions prudently!

7.

data sources: the following information comes from enterprise credit reference institutions, more detailed enterprise risk data, company official website, company profile, which can be inquired on nailing enterprise dictionary, and more company recruitment information can be inquired on the company official website< br />

• Company profile:

Shenzhen Lianrong Technology Co., Ltd. was established on July 6, 2017, with registered capital of 0.7 and legal representative of Li Weiping. Its address is 14 / F, Minsheng financial building, Haitian Road, Lianhua Street, Futian District, Shenzhen. Its unified social credit code and tax number are 91440300ma5elwky67 and its instry is information technology consulting service, The registration authority is Shenzhen market supervision and Administration Bureau, and its business scope is licensed business items: design and sales of computer network equipment, communication equipment and electronic procts; Database and computer network services; The development and application of blockchain technology; Supply chain management and related supporting services; Accept the entrustment of enterprises to engage in information and technical services; Enterprise management consulting; Domestic trade; Import and export business Items prohibited by laws and administrative regulations are excluded; The business registration number of Shenzhen Lianrong Technology Co., Ltd. is 440300201734294; Branches:

, 8226; Foreign investment:

,

, 8226; Shareholders:

&; Senior executives:

8. Because of its architecture, the computing power of the graphics card is far stronger than that of the CPU. Some software or features developed for the graphics card can call the computing power of the graphics card, thus greatly improving the efficiency of computing
mainly used in scientific computing, video rendering, video processing and other fields

in our daily use of computers, we seldom use the general computing power of graphics card, which has little impact.

9. Computing power is a concept put forward by NVIDIA when it released CUDA (Compute Unified Device Architecture, a programming language for GPU, similar to C programming for CPU). Because the graphics card itself is a floating-point computing chip, it can be used as a computing card, so the graphics card has computing power. Different graphics cards have different computing power. In order to show the difference, NVIDIA put forward the corresponding version of computing power x.x on the procts of different periods. Computing power 1.0 appeared on early graphics cards, such as the original 8800 ultra and many 8000 Series cards, as well as Tesla C / D / s870s cards. Cuda1.0 was released corresponding to these graphics cards. Today, computing power 1.0 has been eliminated from the market. Then there was computing power 1.1, which appeared on many 9000 Series graphics cards. Computing power 1.2 appears together with GT200 Series graphics card, while computing power 1.3 is proposed when upgrading from GT200 to GT200 A / b revision. In the future, there will be computing power 2.0, 2.1, 3.0 and other versions. The latest released version is computing power 6.1, which is supported by the latest Pascal architecture graphics card. At the same time, CUDA version is also updated to cuda8.0

ordinary users do not need to care about the computing power of the graphics card, only GPU programmers care about this problem when they write CUDA programs to develop GPU computing. As long as you know the model of your computer's graphics card, you can find the corresponding computing power https://developer.nvidia.com/cuda-gpus .

10. The game card is used to play the game, and the computing card mainly uses the advantages of GPU with strong computing power to carry out some large-scale operations, so the effect of playing the game is not good.