Amd power tops
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 P>
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
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5g will become the most frequently used word in 2020. In the past year, 45 telecom operators around the world have begun to deploy 5g. Obviously, 5g will change our lives at a speed far faster than 4G. As the world's largest mobile phone chip supplier, at this CES, Qualcomm also showed its overall layout of 5g era for the first time, initially completing the comprehensive coverage of mobile phones, computers, cars and cloud
different from the previous press conference in which mobile phone business occupied the C position, the biggest space of this CES press conference of Qualcomm was about the automobile business. For the first time, the automotive field has become the focus of Qualcomm's layout. In addition to the Internet of vehicles business that has been laid out before, this time, Qualcomm has also extended its tentacles to automatic driving
automatic driving platform with more flexibility and lower power consumption at the press conference of Qualcomm on the eve of CES, Qualcomm officially launched the new snapdragonride platform, officially listed various problems encountered in current automatic driving, and said that its own platform is one of the most advanced and scalable open automatic driving solutions in the automotive instry. This kind of scene is like, one day, a former mobile phone chip maker suddenly stood in front of a pile of car Tier1 and sighed: "there is no one who can take a taxi. I have to come to the automatic driving solution."
with the development of 5g and artificial intelligence technology, more and more technology companies have joined the automotive instry, using the advantages of chips and software to enable intelligent vehicles and accelerate the intelligent and networking process of vehicles. Perhaps, owning a more intelligent and convenient car will come true earlier than we think
this article comes from the author of car home, which does not represent the standpoint of car home
warm tips:
1. The withdrawal of self-service machines and tools is limited by single and daily accumulated amount
2. The support business of self-service machines and tools varies in different regions. Please refer to the machine page for specific functions and operations
(answer time: June 13, 2019, in case of business change, please refer to the actual situation.)
it may take two years to dig a bitcoin.
In September of this year, we @ Gedian experienced the function of Weilai NOP (navigation on pilot). After Tesla FSD (NOA), this is the second auxiliary driving function that can automatically enter and exit the gate, change lanes and overtake based on the navigation planning route
NOP has been pushed to users in the form of FOTA, supporting all models of Weilai. Although es8 is "old fashioned", its built-in mobileyeq4 chip's computing rendancy can fully meet the needs of NOP
when it comes to advanced auxiliary driving, in addition to high-definition cameras and various radars, chips are the most important and the most difficult part for car companies to overcome. At present, in addition to Tesla's self-development, Mercedes Benz, BMW, Weilai and Xiaopeng all choose purchased chips. There are also many ADAS manufacturers that can provide such chips, such as Mobileye, Bosch, Texas Instruments and NVIDIA. When you see this, someone may ask:
"isn't NVIDIA the one that makes graphics card GPU?"
this article comes from the author of auto home, which does not represent the standpoint of auto home
inter calorific value is small
amd L2 cache is small, but cost-effective
amd has stronger floating-point computing ability, which is suitable for game and logic processing.
the design of Intel is relatively better
at present, the differences between Intel and AMD CPUs, as well as the performance and efficiency differences caused by the differences, are as follows, for reference only:
1. From the single crystal silicon process: Intel: 0. 09 (rece cost, increase transistor quantity), AMD: 0. 13 (cost ratio 0. As a result, after recing the price of the same proportion, Intel still makes money, while amd at least won't make too much money. Maybe it will make money (loss), although the market share has increased, which has led to the recent amd lawsuit
2. From the pipeline: Intel: 31 level (can be upgraded to a higher main frequency, but bring more heat: for example, p4-670 super to 7. 4G, but it has to be cooled by liquid nitrogen, and it is easy to cause low efficiency of instruction execution, so a hyper thread is created to make up for it; AMD: level 20 (the efficiency of instruction execution is better than level 31, but the frequency improvement is limited, and the calorific value is relatively low. Efficiency and frequency are two different development directions, mainly depending on the user's choice)
3. Cache: Intel: Level 1 16K, level 2 1m-2m (integer operation and game performance are not as fast as AMD's (another main reason will be discussed later), but for network and multimedia (floating point operation) applications, it is better than its rivals
AMD: Level 1 128K, level 2: 512k (integer operation is fast, game performance is good, but for multimedia applications, it is slightly inferior)
4. Memory management rack: Intel's memory management rack is still managed by the traditional north-south bridge mode on the motherboard (resulting in large data transmission delay between CPU and memory, which is not as good as amd for game execution, but for the future upgrade cost is reced). AMD is an integrated memory controller inside CPU (which reces the data transmission delay between CPU and memory, (it plays a significant role in improving the performance of the game, which is also the main reason mentioned above. It also makes up for the deficiency of level 2 only 512k for multimedia applications, but increases the cost of future upgrade: if you want to upgrade, you have to replace the CPU, memory and motherboard)
5. Instruction set Intel: MMX, SSE, SSE2, sse3, EM64T
(most games and software based on Intel instructions are optimized for Intel, but 64 bit instructions have compatibility shortcomings for the new 64 bit system, so recently they have to be compatible with AMD's x86-64 instructions, and the CPU step value also changes from E0 to G1) AMD: 3DNOW +, MMX, SSE, SSE2, sse3, X86-64 (two instructions are missing from sse3, but it's not a big problem, because those two instructions are specifically for Intel hyper threading technology. No matter what, amd doesn't support hyper threading technology either. Because AMD's 64 bit technology is derived from alpha Technology (one of 64 bit technologies) of DEC company, and AMD's own secondary development, 64 bit technology has rapidly appeared in the civil market, Microsoft's 64 bit system also has to be developed based on AMD's x86-64 bit (who told AMD to launch 64 bit for civil use first). In order to eliminate the problem of windows compatibility for 64 bit as soon as possible, Intel is also forced to start compatibility with AMD's 64 bit instructions