High computing power chip
CristianoAmon, President of Qualcomm Corp, at the press conference of SnapdragonRide, shows a combination of SoC, accelerator and automatic driving software stack, showing SnapdragonRide (Graphic source CNET/James Martin)
SnapdragonRide, which provides an extensible solution for automobile manufacturers, which can provide support for self driving vehicles in three sub fields, namely
1, L1 / L2 active safety ADAS -- for vehicles with automatic emergency braking, traffic sign recognition and lane keeping assistance
2, L2 + ADAS -- for vehicles that can drive automatically on expressways, support self-service parking, and drive in urban traffic with frequent parking
3, L4 / L5 fully automatic driving -- for automatic driving, unmanned taxi and robot logistics in urban traffic environment
snapdragonride platform is based on a series of different snapdragon SOC and accelerators. It adopts scalable and molar high-performance heterogeneous multi-core CPU, energy-efficient AI and computer vision engine, and GPU
among them, adassoc series and accelerator series adopt heterogeneous computing. At the same time, using the new generation of artificial intelligence engine of Qualcomm, ADAS and SOC can efficiently manage a large amount of data of on-board system
thanks to the combination of these different SOC and accelerators, snapdragonride platform can be equipped according to the needs of different segments of autonomous driving market, and provide good heat dissipation efficiency, from 30tops level equipment for L1 / L2 level applications to 130W power consumption equipment for L4 / L5 level driving with more than 700tops
in addition, the new snapdragonride autopilot software stack is a molar and scalable solution integrated into the snapdragonride platform
according to the introction, the software framework of snapdragonride platform can host customer specific software stack components and snapdragonride autopilot software stack components at the same time
snapdragonride platform also supports passive or air-cooled cooling design, so it can further optimize vehicle design and improve reliability while recing cost
now, arm, blackberry QNX, Infineon, Xinsi technology, elektrobit, and Anson semiconctor have joined the auto driving circle of friends of Qualcomm and become the software / hardware suppliers of snapdragonride auto driving platform
the functional security solutions of arm, the automotive designware interface IP, arc processor IP and starmemory SystemTM of Xinsi technology, the OS Security version and hypervisor Security version of BlackBerry QNX, the aurixtm microcontroller of Infineon, and the ADAS series sensors of Anson semiconctor will be integrated into the automatic driving platform of Qualcomm
elektrobit also plans to cooperate with Qualcomm to jointly develop a new generation AUTOSAR architecture that can be proced on a large scale. Ebcorbos software and snapdragonride autopilot platform will be integrated on this architecture
it is understood that snapdragonride will be delivered to automobile manufacturers and first tier suppliers for preliminary development in the first half of 2020, and according to the estimation of qcomm technologies, the vehicles equipped with snapdragonride will be put into proction in 2023
Second, we have been deeply engaged in the automotive business for many years. Before the release of snapdragonride, we have been deeply engaged in the field of intelligent vehicles for many yearsfor more than a decade, Qualcomm technologies, a subsidiary of Qualcomm, has been providing advanced wireless communication solutions for GM's connected vehicle applications, including the security applications supported by the Android devices on GM
in the fields of on-board information processing, information audio-visual and in car Internet, the total value of orders of qcomm technologies has exceeded 7 billion US dollars (about 48.7 billion yuan)
according to the information released by Qualcomm at the ces2020 press conference, so far, more than one million vehicles have used the automotive solutions provided by Qualcomm
it is obvious that today, the layout of Qualcomm in the automotive field has taken another step forward
ring ces2020, in addition to snapdragonride, Qualcomm also launched a new car to cloud service, which is expected to be available in the second half of 2020
according to the introction, the car to cloud service built by Qualcomm technologies supports the soft upgrade capability of softsku chip specifications, which can not only help automobile customers meet the changing needs of consumers, but also enable chipsets to be upgraded in the field to support new functions according to new performance requirements or new features
at the same time, softsku also supports customers to develop common hardware, so as to save their special investment for different development projects. By using the cloud softsku of Qualcomm, automobile manufacturers can not only provide a variety of customized services for consumers, but also create rich and immersive in car experience through personalized features
in addition, the car to cloud service of Qualcomm also supports the global cellular connection function, which can be used to guide the initialization service and provide wireless communication connection throughout the life cycle of the car
According to nakul ggal, senior vice president of proct management of Qualcomm technologies, combined with snapdragon's 4G and 5g platforms and snapdragon's digital cockpit platform, Qualcomm's car to cloud service can help automobile manufacturers and first tier suppliers meet the new expectations of contemporary car owners, including flexible and continuous technology upgrading and continuous exploration of new functions throughout the whole automobile life cyclein addition, Qualcomm technologies also announced on ces2020 that it will continue to deepen its cooperation with general motors. As a long-term partner, GM will support digital cockpit, on-board information processing and ADAS (advanced driving assistance system) through continuous cooperation with Qualcomm technologies
conclusion: Giants raging like a storm in the field of automatic driving, HUAWEI has said before it wants to build intelligent core sensors for automobile, such as lidar and millimeter wave radar. After that, Arm led the establishment of the automatic driving Computing Alliance. Now the mobile chip giant Qualcomm has released a new automatic driving platform, and has made further progress in the field of automobile and automatic driving. <
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game player is concive to the faster and better landing of autopilot cars, but on the other hand, as more hardcore players expand their business boundaries, competition in the market will become more intense. p>
this article comes from the author of car home, which does not represent the standpoint of car home
The types of chips that provide computing power for AI include GPU, FPGA and ASIC
GPU is a kind of microprocessor specialized in image operation on personal computers, workstations, game machines and some mobile devices (such as tablet computers, smart phones, etc.). It is similar to Cu, except that GPU is designed to perform complex mathematical and geometric calculations, which are necessary for graphics rendering
FPGA can complete any digital device function chip, even high-performance CPU can be implemented with FPGA. In 2015, Intel acquired the FPGA long alter head with us $16.1 billion. One of its purposes is to focus on the development of FPGA's special computing power in the field of artificial intelligence in the future
ASIC refers to the integrated circuits designed and manufactured according to the requirements of specific users or the needs of specific electronic systems. Strictly speaking, ASIC is a special chip, which is different from the traditional general chip. It's a chip specially designed for a specific need. The TPU that Google recently exposed for AI deep learning computing is also an ASIC
extended data:
chips are also called integrated circuits. According to different functions, they can be divided into many kinds, including those responsible for power supply voltage output control, audio and video processing, and complex operation processing. The algorithm can only run with the help of chips, and because each chip has different computing power in different scenarios, the processing speed and energy consumption of the algorithm are also different. Today, with the rapid development of the artificial intelligence market, people are looking for chips that can make the deep learning algorithm perform faster and with lower energy consumption
this question is quite professional, but according to my knowledge, I have a chance to finish it let's first introce some basic knowledge about the field of chip manufacturing
I think this kind of problem at most comes from the concern and consideration of China's semiconctor instry manufacturing. Because China's 14nm process has been proced and operated in China, but compared with semiconctor giants like TSMC, we still have a big gap in 5nm and 7Nm. Therefore, there may be such a problem: if we want to use 14nm instead of 5nm, the starting point is very good, but the charm of science lies in constantly exploring the limits and unknowns. Only by constantly climbing can we have a deeper understanding of the world and improve our proctivityWu Wei, director of the mechanical equipment department of the Instrial Development Department of the national development and Reform Commission, said that in the future, automobiles made in China will have the most integration of new technologies and innovations in the world, and will also lead the global automobile instry
at the same time, the competition in the automotive chip field is also extremely fierce. Compared with the chips of consumer electronics procts, automotive chips have higher requirements for safety and stability, which is a common problem faced by the chip instry and an opportunity for Chinese chip companies
conclusion: self developed technology makes Zero run more competitive
Zero run car is the first self-developed auto driving chip among the new Chinese car making enterprises, and the Zero run car C11 with this chip will be released next month. The rapid progress of Zero run vehicles in the field of automatic driving has also been recognized by users
According to the statistical data, the sales volume of the two mass-proced models of Zero run Auto has graally increased since July this year. The sales volume has exceeded 1000 in September, and is expected to exceed 1600 in October. A large number of self-developed technologies have made Zero run a new force of car making more competitivethis article comes from the author of car home, which does not represent the standpoint of car home
on September 18, Huawei released a heavyweight proct, Atlas 900, which brings together Huawei's decades of technological precipitation, is the fastest AI training cluster in the world, and is composed of thousands of ascendant processors. In the resnet-50 model training, the gold standard of AI computing ability, Atlas 900 completed the training in 59.8 seconds, which is 10 seconds faster than the original world record
"imagenet-1k data set" contains 1.28 million images, with an accuracy of 75.9%. Under the same accuracy, the test results of the other two mainstream manufacturers in the instry are 70.2s and 76.8s respectively, and the atlas 900 AI training cluster is 15% faster than the second. Hu houkun said: the powerful computing power of atlas 900 can be widely used in scientific research and business innovation. For example, astronomical exploration, oil exploration and other fields all need to carry out huge data calculation and processing. Originally, it may take several months, but now atlas 900 is just a matter of seconds. The thousands of integrated shengteng processors in atlas 900 are the commercial shengteng 910 some time ago
"in the past year, 5g and AI are the two hottest words," Ding Yun said. Huawei has made many achievements in the past year: in last year's MWC, it released 5g end-to-end solutions; in last year's MWC, it launched 5g end-to-end solutions; On October 10 last year, it released AI chips and solutions with the highest performance and lowest power consumption; In the coming Spring Festival of 2019, Huawei will also use 5g technology to broadcast live 4K Spring Festival Gala< Ding Yun disclosed that up to now, Huawei has won 30 5g contracts, and 5g has delivered 25000 base stations in total
today, Huawei officially released the instry's first 5g oriented chip, Tiangang chip. Ding Yun said that Tiangang chip has ultra-high integration and super computing power, which is about 2.5 times higher than previous chips
"4G changes life, 5g, Huawei thinks it will make life better," Ding Yun said< On January 22 this year, Hu houkun, Huawei's rotating CEO, revealed at the group meeting of the world economic forum in Davos that Huawei has deployed 5g networks in more than 10 countries and plans to enter another 20 countries in the next 12 months. He predicts that 5g smartphones will be on the market in June this year (Han Dapeng)
the description of Li Kuan in the book of the new Tang Dynasty:
in the third year of Wude, King Kuan of Chu, he became king AI of Chu, flea Hong, and was granted the title at the beginning of Zhenguan<
the description of Li Kuan in the old book of Tang Dynasty:
King Kuan of Chu, the second son of Taizong. Wang Zhiyun, the stepfather of Chu AI. Early morning. At the beginning of Zhenguan, there was no empress and the state was removed<
the relevant description of Chu ai wang Zhiyun in the new book of the Tang Dynasty:
the explanation of Chu ai wang Zhiyun's early name. Good at shooting, writing and playing chess. At the end of the great cause of the Sui Dynasty, it was built in Hedong. At the beginning of Gaozu's reign, he left Taiyuan, where the officials captured Zhiyun and sent him to Chang'an. In the first year of Wude, Wang and his posthumous title were awarded
in the third year of Wude, he took Taizong ZiKuan as his heir, and presented him to Liangzhou general manager and situ. If we are free, we will get rid of it. In the second year of Zhenguan period, he was the descendant of lingguisi, the son of the Duke of Jinan, and the governor of Weizhou; Digging Yongji canal and opening up the new market will benefit the people. Hong, the son of Fu, down to the public. Death, son inherited Kuang Si, dragon for the right Yulin general, the same section of the prince died in trouble<
the relevant description of Wang Zhiyun in the old book of Tang Dynasty:
King Zhiyun of Chu, the fifth son of Gaozu. Her mother was Wan Guifei. She was very obedient, and was especially courted by Gaozu. All the affairs in the palace are reported to you. All the princesses and princesses are respectful. Later, she was granted the imperial concubine of the state of Chu, Hong, who was buried with her. Zhiyun's original name is Zhiquan. At the end of the great cause, he started from Gaozu in Hedong. And the volunteers will rise, hidden Prince built potential return to Taiyuan, to Zhiyun small, commission and go. Because the official captured, sent to Chang'an, for the Yin Shishi harm, fourteen years old. In the first year of Yining, it was presented to the minister Zuo pushe and the Duke of Chu. In the first year of Wude, he was granted the title of king of Chu. No son, three years, to Taizong ZiKuan as the heir. Kuanhong, Zhenguan two years, to Jinan Gongshi son Linggui Heiyan. Linggui, the governor of Weizhou in Yonghui, has a clear and strict administration, and has been a traitor. The Yongji canal was opened into the new city to control the business travel and benefit the people. He's a dead officer. The son is blessed and the heir is demoted to the throne. Yifengzhong died in youweiwei general. Zi chengkuang, a general of the right feather forest in the dragon, raised his troops with Prince Jiemin and entered the Xuanwu Gate. He was killed by the random soldiers.