This will help imagine to further consolidate its position in the mobile GPU IP market and participate in the competition in the desktop and cloud GPU markets. To what extent can the ray tracing GPU to be launched next year increase its competitiveness? < / P > < p > for processors of any architecture, the pursuit of higher performance will not stop. Kristof beets, senior director of product management at imaging technology, said: “after using the high-performance img a series power VR GPUs released in December last year, customers asked if we could provide higher performance multi-core GPUs. Therefore, on the basis of a large amount of investment and the technical advantages of a series, we added multi-core technology and launched img B series, which expanded the GPU product line of imagine with an amazing 33 new configurations. ” < / P > < p > it is reported that the B series can provide 6 tflops (trillions of floating point operations per second) computing power. Compared with the previous generation of img a series products, the power consumption is reduced by 30%, the area is reduced by 25%, and the filling rate is 2.5 times higher than that of the competitive IP core. The B-series offers the highest performance density (performance per mm2), while offering a variety of new configurations to achieve lower power consumption and up to 35% bandwidth reduction for a given performance goal, according to imagine. < p > < p > specifically, IMG B series GPU IP provides Bxe, BXm, BXT and bxs professional cores for specific markets: < / P > < p > img Bxe: for high-definition display applications, it is specially designed for user interface (UI) rendering and entry-level game design. It can process from 1-16 pixels per clock cycle, and supports resolutions from 720p to 8K. Compared with the previous generation of kernels, the area is reduced by 25%, and the filling density is 2.5 times of that of competitors. < / P > < p > img BXm: focus on graphics processing experience. This series is a midrange solution. It introduces the latest configurable cache design to achieve a better balance between fill rate and computing power. It can reduce bandwidth consumption by 35%, providing support for mid range mobile games and complex UI solutions for digital TV and other markets. < / P > < p > img BXT: for high-performance applications, the flagship B-series GPU has built-in four cores, which can provide 6 tflops performance, can process 192 gigapixel (1 billion pixels) per second, and its AI computing power reaches 24 tops. Meanwhile, it can provide the highest performance density in the industry. < / P > < p > img bxs: for automotive applications, in line with ISO 26262 safety standard provides a complete product series from entry level to advanced level, which can increase the graphic processing speed of automatic driving to more than 60% of competitive products. It can provide solutions for the next generation of human-machine interface (HMI), UI display, infotainment system, digital cockpit and surround view. The configuration with high computing power can also support automatic driving and auxiliary driving. The most noteworthy feature of B-series GPU is multi-core architecture. Kristof beets said in his communication, “from past experience, when the high performance of a single core is brought into play, it will move to a multi-core architecture. One of the most important reasons is that it is difficult to improve the performance of the architecture with multiple single cores, and there are a lot of control logic to manage. The multi-core architecture we have developed integrates innovative decentralized management methods, providing efficient scalability features that are in line with the trend of the chiplet architecture industry. ” David Harold, chief marketing officer of imaging, added: “we have observed the trend of small chips in the GPU market, and this decentralized design can not only reduce development costs, but also reduce development time. But the signal transmission of small chips is a problem. ” < / P > < p > “in the past, GPU had many secondary cores, which were very dependent on some resources of the main core. Our multi-core architecture design avoids central modules. Small chips have independent resources and can run independently. At the same time, we also avoid some complex logic. Therefore, our design is very in line with the trend of small chips. ” Kristof beets further said. < / P > < p > based on such a multi-core architecture design, imagination optimizes each product family of BXT and BXm kernels, and realizes multi-core extension of GPU kernel by using the expansion characteristics of multiple main cores. Each core can run independently or be combined into a large GPU to perform tasks together, which can provide maximum performance for a single application or support the operation of different cores independently The application of Li. < / P > < p > Bxe series provides the expansion mode of main core and secondary core, which is an area optimization solution. It provides high performance through a single GPU core, and uses hyperlane technology of imagination for multi task processing. < / P > < p > the bxs automobile GPU kernel also takes advantage of the extensibility of multiple primary cores, supports performance expansion, and conducts security checks across multiple cores to ensure correct operation. < / P > < p > it is worth noting that the 4-core architecture design is given in the B series released this time. Kristof beets explained, “the four core architecture is determined based on our experience and user feedback. The 4-core architecture is the balanced architecture of performance and energy efficiency that can best meet the market demand. In the future, it will continue to improve single core performance and expand multi-core architecture. We’ve had up to 14 cores of architecture experience, and checking more is not a challenge. ” < / P > < p > “we need to see that in the server market, the expansion of multi-core is not the most important, but the expansion of cabinet and Ethernet based expansion.” Kristof beets also said. < / P > < p > imagination obviously hopes to expand the GPU market with higher performance while maintaining the competitiveness of mobile market through 4 series and 33 configurations. < / P > < p > data shows that in the GPU IP market, imagination has the highest market share of 35.5%, arm ranks second with 34.5%, and Qualcomm takes the remaining 30% market share. In addition, in the automotive GPU IP market, imagine’s market share is as high as 43%. < / P > < p > therefore, for mobile devices, Bxe, BXm and BXT are available from entry-level to high-end B-series. The performance and positioning of Bxe and BXm are similar. Kristof beets said: “the two series are very closely linked. The products of these two series are very sensitive to bandwidth and cost. Bxe emphasizes graphic rendering ability, and BXm has strong graphics rendering ability and greater floating-point computing capability.” < / P > < p > BXT can not only meet the needs of flagship mobile phones, but also enter the desktop and cloud market with multi-core scalability. It is reported that SMIC has integrated the B series BTX into a PCI-E GPU independent graphics chip that can support desktop and data center applications. “We are about to launch a high-performance 4K / 8K graphics PCI-E gen4 GPU independent graphics chip, which will be available soon and will provide strong support for 5g cloud games and data center applications in the future,” said Roger Mao, vice president of core technology engineering < / P > < p > in order to better meet the needs of the cloud market, imagine’s GPU can be flexibly combined or split, and it can also provide hardware virtual functions in the multi instance environment, bringing better flexibility and security. < / P > < p > as to why the bxs series was specifically launched for the automotive market, David Harold said, “this is based on our understanding of the automotive industry and to better meet the unique needs of the automotive market. Many GPU IP on the market have not been optimized separately for the automobile market, which not only can’t meet the needs of this market technically, but also can’t let customers pass the relevant certification of automobile industry more quickly. ” < / P > < p > “our bxs is aimed at the optimization of the automotive market demand. It not only meets the requirements of the automotive market in terms of performance characteristics, but also conforms to ISO 26262 safety standard, and can help customers pass product certification faster.” David Harold said: “bxs uses risc-v firmware, which is the first in the industry. By adopting risc-v, we also hope to find more opportunities in the automotive market.” < / P > < p > the high performance brought by the multi-core architecture, as well as the comprehensive scalable combination, make imagine’s B-series can be applied to mobile devices, consumer devices, Internet of things, microcontrollers, digital TV (DTV) and automobile markets. But there is also a key problem, the increase in the number of cores brings more data and the increase of image resolution, so the bandwidth problem can not be ignored. < / P > < p > to this end, in addition to multi-core architecture, B series also introduces an important compression technology imgic. Imgic compression technology can provide four levels of compression, complete compression and compression rate of 75% (near perfect quality), 50% (visual lossless), 25% (the most bandwidth saving) lossy compression. < / P > < p > it is reported that for high-end mobile phones with 4K display and 120Hz refresh rate, the read-write speed is close to 8GB / s. Using imgic’s lossless mode, the average 4GB / s can be reduced to 4GB / s on the premise that the quality is not affected; if lossy compression is used, the bandwidth can be reduced to 6GB / s, 4GB / s and 2GB / s respectively when the compression rate is 75%, 50% and 25%. < / P > < p > when the A-Series GPU was launched last year, imagination revealed that it would launch ray tracing products in the next few years. At the launch of the B series, Kristof beets further revealed the progress of imaging in ray tracing. “Based on our 10-year research on ray tracing, we believe that it will take level 4 for ray tracing to achieve the best user experience, higher computing power, lower bandwidth and desktop level efficiency,” he said < / P > < p > the so-called level4 is the level division of imagination for ray tracing, in order to help the industry understand and compare the differences of various ray tracing more clearly. There are six levels in total. Level4 is the BVH processing and consistency sorting function in hardware. < p > < p > imaging’s ray tracing technology will be geared to the mobile and desktop markets. At present, NVIDIA has launched a desktop GPU that supports ray tracing. Therefore, it is worth looking forward to how much changes imaging’s ray tracing GPU can cause in the desktop market. In addition, the mobile phone does not realize the ultimate support for light. Whether imaging can solve the performance and energy consumption problems of mobile ray tracing and initiate changes is also very worthy of attention. < / P > < p > for imagination, if it wants to enhance its competitiveness in the IP market, it naturally needs to maintain and enhance its market share in the mobile market and automobile GPU IP market, and expand to more markets at the same time. This is why imagination said when it released a series GPUs last year, it said that the next B series and C series GPUs would maintain 30% performance improvement. < / P > < p > of course, in order to better meet the market demand, imagination also needs collaborative technology such as AI synergy, so that its GPU can not only process images, but also process programmable AI, and it also needs to cooperate with AI accelerator to achieve better AI performance. It is revealed that imagination will release its fourth generation neural network accelerator (NNA) product next month. There is also a good opportunity in the international market. David Harold said imaging has not developed any IP in the United States and has established research and development facilities in Shanghai and Beijing. Chinese version of K-car: reading a10e design drawing exposure