What's the use of high computing power
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
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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 proctivityon 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
The differences between Apple's A10 chip and A9 chip are as follows:
1. The running score data shows that the single core running score of Apple's A10 processor has reached 3000, which is comparable to that of Apple's a9x processor, and has increased by about 20% compared with that of Apple's A9 processor
2. In terms of GPU graphics processing, apple A10 chip is two-thirds higher than apple A9
3. Apple A10 chip adopts 6-core design and 14 nm proction process, while Apple A9 chip still adopts al core design
In terms of battery life, because Apple A10 chip adopts 6-core design, its power consumption is much larger than that of Apple A9, which is the problem apple must consider to solve Apple A9 processor model is apl1022, which is packaged with Hynix 2GB lpddr4 ram. Apl1022 is manufactured by TSMC with 16nm FinFET process. The packaging area of 16nm A9 processor is larger than that of 14nm A9 processor6. The number of Apple's A10 processor core is tmgk98, which continues the A9 tmgk96. The core area is about 125 square mm. The package uses TSMC's latest FIFO technology and is more compact than before. It is said that there are 3.3 billion transistors
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at the launch of iPhone 7 and iPhone 7 plus, apple officially released the new chip A10 fusion, a 64 bit processor with a performance of "little rocket". A10 fusion is the first apple four core processor with 3.3 billion transistors. The CPU is 40% faster than the A9 processor of the iPhone 6S, twice as fast as the A8, and 120 times faster than the iPhone generation
the GPU of Apple's A10 chip has also been updated, which is 50% faster than that of A9, three times faster than that of A8 chip, and 240 times faster than that of iPhone generation. Apple's A10 fusion processor can bring "console level Games", and Lightroom will support raw image editing and so on
of course, in terms of running points, the Kirin 990 is still inferior to the snapdragon 865, which should be the only thing that can be criticized by Huawei mobile phones. This is also the fundamental reason why many people still choose the snapdragon 865. In the final analysis, they still value the performance of mobile phones< However, other advantages of Huawei mobile phone are too obvious. First of all, the signal is strong, which may be amplified in the 5g era. After all, the essence of 5g is the fast network speed. With the popularity of 5g in the future, if a comparison shows that the network speed of Huawei's 5g mobile phone is much faster than other mobile phones, it may decisively affect consumers' choice. After all, the performance of mobile phones has some excess, and the performance factor has little effect on mobile phones
secondly, the actual use experience is good. You may have seen the comparison video between Xiaomi 10 and glory V30. The speed of opening the app is not as fast as that of V30. Even the app opening speed of 9x is not lower than that of Samsung note10 +. I once sent other people's relevant evaluation videos
the third is photography technology, which has become a brand of Huawei. Xiaomi can't beat Huawei's tens of millions of pixels with 100 million pixels of camera. In fact, it's not only a flagship machine, but also a Huawei 1000 yuan machine. Many people choose mobile phones in physical stores, and other functions are often unclear, but taking photos may be a big factor
in a word, Huawei's only weakness now is that it can't surpass Xiaolong in terms of running points. Once it wins even running points, Xiaolong will come to an end.
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