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Experts deconstruct 5g computing power form: ARM architecture will bear heavy responsibilities and CPU role will be weakened

via:驱动之家     time:2020/8/10 7:00:58     readed:313

Huawei on the theme of new values and opportunities in order to promote economic recovery after the epidemic and bring new momentum for future economic growth

He said that in the future, data will bring three new opportunities for the industry.


In Guo Ming's opinion, it is difficult for people to see which application scenarios 5g will give the most comprehensive and in-depth development in the future when 5g has not been commercialized. At present, there are application scenarios that 4G can not meet, let alone large-scale scenarios such as Internet of vehicles and smart factory. Not only can 4G not be realized, but also there are great challenges for 5g.

The first challenge is how to deal with large amounts of data. According to Sullivan's research, Shenzhen is taken as an example to establish a smart city. The city only produces 7.5eb of data by camera head in the whole year. After the smart project is launched, various industries connect sensors and intelligent devices to the network, which can generate massive data every day.

The second challenge is how to address the growing demand for computing power. Taking automatic driving as an example, the driving level is improved by one level, and the computing power of the main chip is increased by more than six times. In the future, the number of sensors equipped with automobiles will be much larger than that of today, and the computing speed and requirements will be more stringent.

Based on the above two points, according to Sullivan calculation, the future data computing needs will be decentralized and distributed on the edge side. In order to achieve a new form of end, edge and cloud collaboration, the high privacy and confidentiality requirements are put on the edge side for calculation, and the demand for big data computing and storage business is put in the central side for operation, so that the end, edge and cloud three parties can jointly complete the calculation and storage business.

Compared with the traditional centralized cloud computing, the end-to-end cloud collaborative computing has faster response speed, lower delay, more effective reduction of power consumption and cost, and privacy security issues have been solved.

Guo Ming said that end-side cloud collaborative computing will bring three major trends for the industry.

The first is that the cloud computing demand structure of mobile app has changed in the 5g era. At present, mobile app is basically set with instructions based on x86 architecture on the end side. In the future, all the complex computing tasks of app will be moved to the cloud, and the operating efficiency of the architecture based on X86 will become low. Therefore, the computing power of cloud side will tend to shift from x86 to arm architecture in the future.

Second, based on the interconnection of all things, AI training computing power will increase rapidly.

The CPU management ability is strong, but the operation ability is relatively weak, which is not suitable for AI calculation; the graphics card is suitable for deep operation; the FPGA is reprogramming according to the demand, the real-time is the strongest, the flexibility is the highest, and the power consumption is the lowest. Suitable for all big data centers;

ASIC can be customized for specific user requirements, with smaller size, lower power consumption and lower cost, but its flexibility is relatively poor and can not be used repeatedly.

Through comparison, we can see that in the future 5g computing power system, the role of CPU chip will be absolutely weakened, while the share of other three chips, especially FPGA, will gradually increase, which will become the main trend of computing power improvement in 5g era.

A third trend is the computing power requirement of high performance, high concurrency and high throughput brought by ZB level unstructured data under the background of interconnection of all things.

As the so-called unstructured data refers to the undefined data, there will be a lot of equipment that can not be connected in the Internet era in the future, such as street lamps, water manhole cover facilities and so on through the Internet management, plus video, audio, e-mail, software, sensor signals and so on. Unstructured data will produce a large number of construction needs in the Internet era of 5 G, and the demand for massive unstructured computing will also be a great opportunity for the future computing industry.


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