1 + 1

1. It's very simple to use your spare space to store data and earn digital assets. If you are an ordinary retail investor and want to mine at home, you can consider buying a home miner, such as the star bit hummingbird H1

2.

computing power is a measure of bitcoin network processing power. That is, the speed at which the computer calculates the output of the hash function. Bitcoin networks must perform intensive mathematical and encryption related operations for security purposes. For example, when the network reaches a hash rate of 10th / s, it can perform 10 trillion calculations per second

in the process of getting bitcoin through "mining", we need to find its corresponding solution M. for any 64 bit hash value, there is no fixed algorithm to find its solution M. we can only rely on computer random hash collisions. How many hash collisions can a mining machine do per second is the representative of its "computing power", and the unit is written as hash / s, This is called workload proof mechanism pow

< H2 > extended data

computing power provides a solid foundation for the development of big data, and the explosive growth of big data poses a huge challenge to the existing computing power. With the rapid accumulation of big data in the Internet era and the geometric growth of global data, the existing computing power can no longer meet the demand. According to IDC, 90% of the global information data is generated in recent years. And by 2020, about 40% of the information will be stored by cloud computing service providers, of which 1 / 3 of the data has value

therefore, the development of computing power is imminent, otherwise it will greatly restrict the development and application of artificial intelligence. There is a big gap between China and the advanced level of the world in terms of computing power and algorithm. The core of computing power is the chip. Therefore, it is necessary to increase R & D investment in the field of computing power to narrow or even catch up with the gap with the developed countries in the world

unit of force

1 KH / S = 1000 hashes per second

1 MH / S = 1000000 hashes per second

1 GH / S = 1000000000 hashes per second

1 th / S = 100000000000 hashes per second

1 pH / S = 100000000000 hashes per second

1 eh / S = 100000000000 hashes per second

3. 0.03 bitcoin, about 17 yuan

4. This question is too vague and direct! The answer is definitely different! Even if the al cards are 3G or 2G, the network speed will not be the same, and the signal strength of China Telecom and China Unicom or China Mobile in the same place will not be the same, understand?

5. As long as you dig more than 0.003 bitcoins and more than 0.1 Ethereum, you can directly mention that any exchange's income will arrive every day

6. Let 170 be x yuan,
200:15 = 170: x
x = 12.75 yuan

7. With the development of big data, blockchain, 5g and Internet of things, data processing has become an important proctivity, and these data processing needs computing power to provide support
in short, in the future, computing power is proctivity. If all computing power is built by enterprises themselves, and they develop or purchase software by themselves, they will have to pay a large cost. At the same time, they also need to invest in maintenance cost in the later stage. For many enterprises, especially small and medium-sized enterprises, the cost and operation pressure will become great
the emergence of the tenth power computing platform can effectively help enterprises solve this problem. In short, enterprise users can use the existing resources on the tenth power computing platform to obtain efficient, safe, stable and low-cost computing output solutions.

8. I54590 is a four core, four thread, three-level cache is 6MB. The i7 4790 is a 4-core 8-thread, 3-level cache of 8MB. CPU is not only determined by the dominant frequency.

9. cd2
fs2you://=

cd1:
fs2you://

10. 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 .