Processor Tegra X1 Erista with graphics Maxwell

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POSTER: computer news   ||   PROCESSOR TEGRA X1 ERISTA WITH GRAPHICS MAXWELL	DATE:2015-01-05
Just a few minutes ago ended webcast of NVIDIA presentation , dedicated to new product announcements. Immediately we explain that the only novelties presented by NVIDIA on CES 2015 was the processor Tegra X1 (Erista) and based products designed for the automotive segment. In fact, the processor Tegra X1 received graphics generation Maxwell, whom has a 256 stream processors. The computational part is represented by eight cores with support for 64-bit extensions. The processor is capable of playing 10-bit video H.265 / VP9 4K resolution at 60 frames per second. At the same time it consumes no more than 10 watts. The production technology is not specified, but earlier we heard that generation of Erista processors may be issued on the 20-nm technology. Of course, the nearest competitor Tegra X1 superior both in terms of performance and energy efficiency. NVIDIA Tegra X1 even compares with a processor Intel Core i7, which consumes ten times more energy. Energy efficiency indicators significantly improved relative to Tegra K1: Computing performance Tegra X1 is characterized by the ability to reach the bar in one teraflops. Fifteen years ago, this performance demonstrated the most efficient supercomputer in the world, and now it's on the back of mobile processors. Further report was devoted to aspects of the application Tegra X1 in cars. The first of the presented platform, NVIDIA Drive CX, uses a single processor Tegra X1 to work with a virtual instrument panel, navigation and entertainment system. This computer is installed behind the dashboard of the car, can reproduce graphics with a resolution of approximately 17 megapixels. Car manufacturers will be offered tools Drive Studio, which will allow them to create infotainment systems based on any software platform as well as replace equipment on the panel of virtual counterparts. Navigation map is a three-dimensional structure. You can change the point of view, change the map scale, and virtual instruments not only change color, but also can simulate a variety of decorative materials in the design of the dial. Speaking about the evolution of the active driver assistance systems, Jensen Huang points out that they are increasingly starting to rely on the data received from cameras. Existing production cars recognize traffic signs and markings, light switch when approaching oncoming or cars can automatically brake before suddenly emerging obstacles. The most advanced models recognize pedestrians and animals that appear on the road, with able to do so in low light conditions and fog. The future of these systems is inextricably linked with the image recognition technology, and this is just one area of activity, where NVIDIA has succeeded. The second of the presented today platforms is NVIDIA Drive PX, it already contains two processors Tegra X1 and 12 camera inputs. Three cameras are located on the front of the vehicle body or under the windshield, the other nine are scattered on the sides and rear. Specialists Google and Facebook on neural networks helped NVIDIA quickly create training systems for pattern recognition. It does not require the introduction of all possible samples of objects images, and therefore trained in a matter of days and hours, not several years. For example, the system was able to fairly quickly learn to recognize the car Audi A7. Sample pattern recognition system "run-in" NVIDIA experts in the real world. It learned to recognize pedestrians and cyclists, with even partially hidden behind obstacles. Traffic signs are recognized at a great distance, the system distinguishes between traffic lights. Furthermore, for several days system has learned to recognize vehicle types. This is useful, for example, to give priority to vehicles of special services or public transport. It turns out that over time, cars do better to recognize objects. By the way, the algorithms used NVIDIA has led to recognition accuracy of 93% - this is even better than some people. A pair of processors Tegra X1 in one system Drive PX is able to identify up to 75 objects simultaneously. Invited to the stage representative of Audi told how NVIDIA technology helped mark ten years of collaboration to teach their cars to move without human assistance. One of the prototypes recently was able to drive the race track at speeds up to 240 km / h in some areas. NVIDIA also demonstrated the possibility of an automatic parking system, which it had in the garage of  own headquarters. Get an image with four panoramic cameras on the car body, the system detects obstacles and may allocate free parking spaces to occupy them. Similarly, the owner can give the command from  smartphone . Formed point cloud is analyzed in real time, the system prevents collisions with obstacles and other cars. In fact, for Tegra X1 company sees two main application areas  : it is the creation of "virtual dashboard" with Drive CX and work in automatic piloting using Drive PX. None of NVIDIA partners have not yet announced, in which models and when they start to apply these developments, but it is hoped that the vehicles of the Volkswagen Group will have them first. Related Products :

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