Computing power algorithm of data source
with the rising price of bitcoin, more and more people join the bitcoin mining business. Accordingly, mining consumes more and more energy. Obviously, our government is also aware of this
according to the requirements of the document, regulators require local governments to take measures related to electricity price, land use, tax and environmental protection to guide bitcoin miners to withdraw from the business. According to foreign media reports, regulatory authorities are mainly concerned about the money laundering and financial risks involved in the shutdown policy, but excessive power consumption is also a factor that can not be ignored. In principle, bitcoin mining consumes a lot of power because every time a new bitcoin is proced, it needs to solve the complex mathematical problems through the encryption process performed by a high-performance computer. Mining calculation process is used to verify bitcoin transactions in the blockchain to ensure security, but the disadvantage is that it consumes a lot of energy.
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
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
to define big data, we can define it from the following three aspects:
first, big data redefines the value of data. Big data represents not only technology, but also an instry and a development trend. Big data technology refers to a series of related technologies around data value, including data collection, storage, security, analysis, presentation, etc; Big data instry refers to the instrial ecology based on big data technology. At present, the instrial ecology of big data is not perfect, and there is still a large space for development; Development trend means that big data will become an important innovation field
Second, big data has laid the foundation for an intelligent society. The development of artificial intelligence needs three foundations, namely data, computing power and algorithm, so big data is of great significance to the development of artificial intelligence. At present, in the field of artificial intelligence, the application effect has been improved obviously, one of the important reasons is that there are a lot of data support, which will comprehensively promote the training process and verification process of the algorithm, so as to improve the application effect of the algorithm
thirdly, big data promotes the digitalization of social resources. The development of big data makes data proce greater value. This process will greatly promote the digitalization process of social resources. After more social resources are digitalized, the functional boundary of big data will be constantly expanded, thus driving a series of innovations based on big data
finally, one of the important reasons why big data is important is that big data has opened up a new value field, and big data will graally become an important proction material. It can even be said that big data will be an emerging energy in the intelligent society.
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there are many types of HPC systems, ranging from large clusters of standard computers to highly specialized hardware. Most cluster based HPC systems use high-performance network interconnection, such as those from Infiniband or myrinet
the basic network topology and organization can use a simple bus topology. In a high performance environment, the mesh network system provides a shorter latency between hosts, so it can improve the overall network performance and transmission rate
