Mining optimization
mining, in fact, is a problem-solving process. First, we work out a formula with many answers, and then the dealer releases a random answer every other period of time. An answer is the prototype of a virtual coin. We can see who can calculate the answer at this time, and then this person or these people can divide the virtual coin. When the result comes out, we can find the answer, virtual currency is attached with information such as the computer information and problem-solving time of the tester, so that the virtual currency can be "materialized", that is, it has traceability and uniqueness attributes. At this time, the virtual currency is officially g out
using the graphics card is because the computing method of the graphics card is different from that of the CPU. The CPU focuses on logic computing. The graphics card is simple computing, and mining (that is, solving problems) just needs simple computing power. Therefore, mining with the graphics card
bitcoin miner is the equipment for mining bitcoin. The mining equipment can be ordinary computer or USB miner, It can also be a professional ASIC miner
It is true that ordinary computer CPU can mine bitcoin, but because bitcoin mining has formed a huge instry all over the world, it is difficult for indivials to mine bitcoin with ordinary computers. You need to buy expensive and professional bitcoin
ASIC mining machine
and join the bitcoin miners organization to dig bitcoin, that is, to join a mining pool for mining
First of all, CPU and GPU are designed differently for different missions in the computer:1. CPU is mainly optimized for serial instructions, while GPU is optimized for large-scale parallel computing
Modern multi-core CPUs aim at instruction set parallelism (ILP) and task parallelism (TLP), while GPUs aim at data parallelism (DLP)3. GPU often has a larger bandwidth of memory, that is, the so-called video memory, so it will also have good performance in high throughput applications
The first step in setting up mining equipment is to choose the right hardware. This article will focus on GPU (graphics card) mining, of course, you can use CPU or ASIC equipment mining. Amd graphics card architecture is very beneficial to mining. NVIDIA card is not suitable for mining because of its low hash rate. The best NVIDIA graphics cards are less than 0.5 megahash. Notebook Hardware mining is not as good as NVIDIA card, which is a bad option for mining. You need to use a desktop system for mining. There is a desktop system to ensure adequate cooling of the hardware
the graphics card or card needs to be able to match the motherboard, and the power supply must have enough PCI-E connectors. Before determining the graphics card, pay attention to these. In order for the system to cool down sufficiently, you need to remove the cover of the chassis in order to get better heat dissipation. This is what people call "open air rig.". If you can aim the system at a fan or air conditioner, you can make the device cooler when it's running, thus extending its life and keeping it efficient
Ha Yu miner, windows can mine with one click, and it hasn't pumped water yet. At the same time, they also have an app that can monitor your machine at any time
linux system can also mine, two-step setting can mine
Mining in two steps by Linux system
< UL >open the website, input the mobile phone number, select how many CPUs you want to use to mine, the default is to use 50% of the CPU to mine, click to generate your exclusive command and
is such a simple operation
Bitcoin was obtained by CPU in the early days. With the continuous development of GPU speed and the emerging advantages of GPU general computing, miners graally began to use GPU instead of CPU for mining. Bitcoin mining uses SHA-256 hash operation, which will carry out a large number of 32-bit integer cyclic right shift operation. Interestingly, this algorithm operation can be implemented by a single hardware instruction in AMD GPU, while it needs three hardware instructions to simulate in NVIDIA GPU. This one alone brings an additional 1.7 times of computing efficiency advantage for AMD GPU. With this advantage, amd GPU is favored by the majority of miners
advise the landlord not to dig up if the budget is not too much!!! This money is not earned if you want to
the difficulty of bitcoin is increasing. Mining with graphics card is a race against time. The main reason is that the difficulty of mining bitcoin is graally increasing (the reason of bitcoin algorithm design). If a set of platforms can get 1 bitcoin per day according to the current difficulty, then in one month, the platforms with the same computing power will only get 0.8 bitcoins, even the top graphics cards will get 18.2 days (which can't be shut down), and the lowest second-hand hd7750 will need more than 400 (it will take 214 days to get one). Just look at this figure (this is the data in May this year, Now it's more than 18 days)
people can earn money by buying several mining machines (mining machines with dozens of top graphics cards piled together)
I hope I can help you
1. Six PCI-E slots are provided to connect six graphics cards
2. BIOS optimization, which can be identified by inserting 6 cards, does not need manual adjustment
3. Stable operation and unstable motherboard may cause automatic restart and shutdown, affect efficiency, or cause short circuit graphics card burn out
at present, B250 / B350 mining motherboards are mainly promoted in the market. Some new ones are very interesting, such as 7 cards / 8 cards. However, these schemes have not yet passed the test. There may be unstable factors, and some of them are not in stock. In fact, the previous 8 series are more suitable for mining. The ms-b85-btc made by the furniture factory is a very good mining board. After years of mining scheme verification, 6 PCI-E, BIOS automatic identification, and PCI-E voltage stabilizing capacitor design are added. The mining is stable, and the shutdown cost is low.
cloud computing, big data and artificial intelligence are known as the three carriages driving the future and enabling the real economy! At present, 48 of fortune's top 50 companies have publicly announced their cloud deployment plans, and the IT departments of many of them have widely used cloud services
Adobe's market value has increased by 10 times in the past nine years when it transformed into SaaS service; In the nine years since its listing, the market value of salesforce has increased by 30 times. Microsoft's revenue in the third quarter was US $30.6 billion, and cloud computing became the biggest contributor to the revenue growth of Microsoft's business. The revenue of intelligent cloud services sector reached US $9.7 billion, an increase of 22%<
according to the data report given by canalys, a research institution, the global cloud computing market in 2018 exceeded US $80 billion, reaching US $80.4 billion, with a year-on-year growth of 46.5%. In 2018, AWS had a revenue of US $25.4 billion, accounting for 31.7% of the market share, while Microsoft azure ranked second in the market, with an annual revenue of US $13.5 billion and a market share of 16.8%. In addition, according to the latest report released by Bain company, the size of the global cloud computing market is expected to rise to US $390 billion by 2020, with a compound annual growth rate (CAGR) of 17%, Forbes Online reported. The global cloud computing market scale accounts for 0.37% of GDP, while the domestic cloud computing market scale accounts for only 0.13% of GDP in the same period
China has a consumer Internet giant with the same strength as the United States, but it is several times different from the instrial Internet. With the disappearance of Internet demographic dividend, the dividend of domestic 2C consumer Internet users has subsided, and 2b instrial Internet is on its way, the troika of cloud computing, big data and artificial intelligence, It will witness the development of instrial Internet and usher in its own golden development. Instrial Internet acceleration, technology empowerment, China's 100 billion cloud computing market is waiting for its cultivators<
Cloud Computing: Top 10 development trends
here is a list of top 10 forecasts of the development trend of cloud computing instry in 2019 made by practitioners, analysts and enterprise decision-makers in the cloud computing instry for your reference<
participating in IDC circle: Top Ten Trends of cloud computing in 2019: cloud has become the main way to obtain artificial intelligence
1. Extensive use of intelligent decision-making has become an advanced symbol of enterprises
artificial intelligence has stepped out of the "entertainment world" and started to widely assist human decision-making in enterprise operation
in the future, whether an enterprise is advanced or not, one of the main measurement indicators is the proportion of intelligent assistance employees (not only serving executives) to make decisions. Cloud is no longer an issue discussed by technology circle, but more concerned by enterprise decision-makers
it is more urgent for enterprises to use artificial intelligence and other technologies for business innovation than ever before. At the same time, cloud based intelligent business will also trigger organizational change
2. Enterprises will graally give up the self built it infrastructure and move to the public cloud, resulting in "cloud based native enterprises"
the infrastructure of Netflix, an American video website, has been relocated to Amazon AWS. A small number of Chinese enterprises have realized such overall cloud relocation in 2018, and it is expected that a large number of cases of such overall cloud relocation will emerge in 2019
the cloud of means of proction means the opening of a new era
3. Cloud has become the most important path for enterprises to acquire AI
cloud naturally solves the unification of enterprise data and technology, and constitutes the most important path for enterprises to acquire AI capability< At present, public cloud platform has become the most important channel for customers to obtain AI services at low cost
in the business field, artificial intelligence technology that has been verified by cloud service providers' own business is favored by enterprise decision makers<
4. Hardware cloud service providers graally bid farewell to the public cloud market
in 2018, the traditional hardware start-ups encountered collective acclimatization in the era of public cloud
IBM's share of cloud computing has declined. Before that, HP, Cisco, Fujitsu and other enterprises had setbacks in entering the public cloud market with the help of open source openstack technology. The analysis shows that the hardware manufacturers' failure in the public cloud market lies in their failure to understand the nature of cloud computing
the essence of cloud computing is not a "computer" but a service. In addition, such enterprises are almost perfectly wrong with the Internet era. As a result, the hardware genes of the above-mentioned manufacturers are so powerful and the existing businesses are so successful that they are faced with the "innovator's dilemma"
5. The public cloud market is further concentrated
according to the statistics of authoritative market research institutions Gartner and IDC, four manufacturers, including Amazon AWS, Microsoft azure, Alibaba cloud and Google cloud, have become the leading forces in the global public cloud market, and their revenue growth rates are far faster than the average growth of the instry
Goldman Sachs, a Wall Street investment bank, predicts that Amazon, Microsoft, Alibaba and other giants will occupy about 84% of the core cloud computing market in 2019. These companies are significantly ahead of their competitors in talent, technology, operation, service, capital, ecology and other aspects. It can be predicted that the global cloud computing market concentration will be further improved in 2019, and will be more significant in the next few years
6. Enterprises prefer full stack solutions
in the past year, with the accelerated penetration of intelligent technology in the business field, many enterprises have realized intellectualization in some business links
however, more and more CEOs prefer comprehensive solutions than artificial intelligence technology to enhance a certain business or link. This kind of solution can not only realize the data of the company's business, but also provide a set of verified intelligent tools to help enterprises realize intelligent decision-making
in 2019, more comprehensive intelligent solutions will continue to appear and be welcomed by the market
7. Enterprises embrace cloud computing for security
in the past, security has become an obstacle
when many enterprises choose whether to go to the cloud, the most important concern is security, not only for their own information security, but also for the stability of business systems. However, with the digital transformation of the whole society, all kinds of business operations of enterprises will inevitably touch the Internet. In order to seek business security, they begin to become the driving factors for enterprises to actively go to the cloud
cloud computing manufacturers have a strong security team to serve too many types of customers, which can enable enterprises to obtain a strong security protection capability at low cost, which has changed the investment habits of enterprises in security in the past< After more than 10 years of development, cloud computing technology has graally matured, and the enterprise's acceptance of cloud computing is also further improved
as cloud computing can bring obvious utility to enterprise IT operation and business innovation, cloud computing has become the norm of enterprises
in 2019, the whole society will put more and more budget into the field of cloud computing, which will further enhance the proportion of cloud computing in the overall it expenditure. Goldman Sachs, a Wall Street investment bank, predicts that the market penetration rate of cloud computing will exceed 10% for the first time in 2019, and it will jump to 15% by 2021. This means that cloud computing will further erode enterprise IT spending and enhance its influence in the IT market< M & A activities in cloud computing instry will be more frequent
in 2018, there are many large-scale M & A transactions in the field of cloud computing, which are divided into different fields such as chip, security, artificial intelligence, developer community, cloud solutions, etc
in order to maintain the rapid growth, the mainstream cloud computing manufacturers need to launch more high value-added procts or services, and constantly expand the scale of paying customer groups. Mergers and acquisitions have become a means to achieve rapid results.