Software for calculating power with graphics 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:
power consumption: 243w
computing power: 22.4m
price of graphics card: 1999 yuan
number 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
price of graphics card: 1599 yuan
every 24 hours Number of time digging eth: 0.017
revenue generated every 24 hours: 27.9 yuan
expected payback time: 57.31 days
video card of radon RX 480

2. Suggestions: first, the performance of this graphics card is OK, and the low-end graphics card that can share memory with an independent graphics card must be
Second, even if the performance is shared, it will not improve much

3. According to a certain software, the value is tested. The larger the value is, the faster the speed will be in the software
it is common in mining software, but the ranking will be different for different algorithms.

4. Don't think about mining. When you install the miner, the price may drop. As a whole, the electricity bill for one day is not enough. Mining machine, then at least 6 cards to have effect, the previous hd7850 speed is difficult to get a bitcoin a month!

5. 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.

6. Eth, BTC are mainstream virtual currency, can invest! But because the price is expensive, we need strength!

7. 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.

8. 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 .

9. Non windows are using OpenGL to access GPU resources, how to access to see the specific OS and OpenGL, EGL documents

10. GPU's general computing power? CUDA I remember some decode and encode video conversion software