Rendering power

1. 1. Geographic information detection: through computing power, 3D modeling method is established to detect and identify buried underground materials, which can detect, identify and mark multiple types of main underground information more quickly, comprehensively and accurately, rece the occurrence of miscarriage of justice in manual data analysis, and improve the accuracy. For example, the detection of urban underground water pipes, wires and so on

2. Weather prediction: more weather models can be simulated, more parameters can be analyzed, and more accurate and farther future information can be predicted through calculation power
3. Special effects rendering: concentrated super computing power can rece the time of movie rendering and improve the rendering efficiency. In addition, there are more big data, AI related video, medical image analysis, agricultural remote sensing, environmental monitoring and other instries can be applied to
I found all of them on the Internet. It's very hard. I hope you can adopt them. Thank you.

2.

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

3. First of all, "the difference in speed mainly comes from the difference in architecture" is a superficial explanation. Yes, the architecture is different. But is this difference determined by the current situation of the choice of various manufacturers, or by the nature of the reasons? Can CPU add cores? Why doesn't GPU need cache

first of all, can CPU remove cache like GPU? no way. There are two key factors for GPU to get rid of cache: the particularity of data (high alignment, pipeline processing, not conforming to localization assumption, rarely writing back data), and high speed bus. For the latter problem, CPU is subject to the backward data bus standard, which can be changed in theory. For the former problem, it is very difficult to solve in theory. Because the CPU to provide versatility, it can not limit the type of processing data. That's why GPU can never replace CPU

secondly, can CPU add many cores? no way. First, the cache takes up the area. Secondly, the CPU needs to increase the complexity of each core in order to maintain cache consistency. In addition, in order to make better use of cache and deal with data that are not aligned and need a lot of write back, CPU needs complex optimization (branch prediction, out of order execution, and some vectorization instructions and long pipeline simulating GPU). Therefore, the complexity of a CPU core is much higher than that of GPU, and the cost is higher (not that the etching cost is high, but the complexity reces the film rate, so the final cost will be high). So CPU can't add core like GPU

as for the control ability, the current situation of GPU is worse than CPU, but it is not an essential problem. However, control like recursion is not suitable for highly aligned and pipeline processed data, which is essentially a data problem.

4.

At present, there are only two ways to obtain nitre, namely: how can nitre be obtained after tomorrow

2. The manor starts with the miner, that is, the second grade alloy bit is used to collect ore, and the probability of ore bursting out. Note that the alloy drill can be purchased through arcade street, white tree highland, shire town and shashibao

5. Professional 3D software ~ such as 3DMAX [timely display] mainly depends on the graphics card's support for OpenGL ~ 970, even if this is not up to standard
secondly, the rendering output still depends on the CPU's ability. 1700x is still good, but there is still a big gap compared with the foreign garbage E5's abnormal level of multithreading
your 1700x and 970 are at most good games ~ video editing is not good with large memory Wrong ~ 3D professional software can be touched ~ [remember not to die, add too many special effects [physical rendering] and physical calculation ~ ask me why ~!]

6. 1. Replacing a computer with a higher configuration costs more
2. Use the services of cloud rendering platform to improve the rendering speed with the help of cloud computing power
3. Using the WYSIWYG rendering software, the basic drawing is very fast and easy to use. Such as lumion and Mars
the problem of rendering a picture is, on the one hand, the speed of rendering a single picture is slow; on the other hand, it needs to be adjusted and modified repeatedly after rendering. Therefore, I recommend using WYSIWYG rendering software.

7. GPU rendering speed is relatively fast, blue ocean Creative cloud rendering farm provides GPU services, which can meet your needs

8. Just pretend it doesn't matter. Remote desktop certainly has a great influence when running, sunflower will consume GPU computing power to transmit data

9. Non genuine, cost-effective selection 1070ti, followed by low budget, the lowest 1070ti. The graphics card loading scene 8g will not burst the memory, and the memory mole also needs at least twice the memory, that is, more than 16g. No over frequency, 2666 frequency is enough. There are a lot of new cards. It's suggested to buy a brand new card. The price is a little expensive If CPU doesn't participate in rendering, buy high main frequency and few cores, and save money on good graphics card. If CPU and GPU are used, please ignore)
genuine, rtx2070s is the most cost-effective, money is better, and you don't need to pay attention to parameters
in terms of brands, the public version graphics card is preferred, which has stable performance and is suitable for rendering, while other brands need time to adapt after the public version driver is updated, which is prone to small problems
moreover, the gap between the 20 series and the 10 series is not very big, and even 1080ti games are not as good as rtx2080s
if you are not sure about the old card, you can choose the shop with warranty, and Taobao Jingdong can guarantee it
currently recommended combination: 2600 + 10703600 + 1070ti, 3700x + 1080ti
why not recommend 1080? Because 1070ti is more powerful than 1080, please refer to cgdirector professional evaluation.