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What is the main business of Xilinx ? What are the families of Xilinx chips? Related Discussions about Xilinx

What is the main business of Xilinx ? What are the families of Xilinx chips? Related Discussions about Xilinx

August 04 , 2023 0

Xilinx is a supplier of programmable logic complete solutions, which is a part of AMD at present, and Xilinx mainly develops and manufactures integrated circuits, software design tools and other products. Xilinx chips are still very popular in the market, so what is the

use of Xilinx chips in general? What devices can Xilinx chips be used in? What series of chips does Xilinx have at present? Please follow JoinWin to understand Xilinx chip!

First, what is the use of Xilinx chip?

Xilinx business includes accelerators, Ethernet adapters, software development, hardware development, embedded development, etc. There are many types of Xilinx chips, so what devices are Xilinx chips generally used in?

First of all, medical equipment, such as ultrasonic medical imaging, PET medical imaging, diagnosis and clinical endoscopic processing, clinical defibrillators, robot-assisted surgical instruments, multi-parameter patient monitors and electrocardiogram detectors will be

used in Xilinx chips;

Secondly, some digital devices, such as servers, memory, switches, coders/decoders, routers/switches, etc., which will also use Xilinx chips;

In consumer electronics, Xilinx's role is also very extensive, robots, trains and rails, computer vision, video surveillance, 3D printing, smart grid and so on can see Xilinx figure;

Second, introduction of Xilinx chip series

Xilinsi chip is mainly divided into PLD, FPGA two categories, and there is a brief introduction as follow:

1.PLD products

Common part numbers are XC9536, XC9572, XC95144 and so on.

2. FPGA products

This kind of product is mainly divided into focusing on low-cost applications and focusing on high-performance applications, large capacity, performance can meet all kinds of high-end applications, the former mainstream chip Spartan-2, Spartan-2E, Spartan-

3, Spartan-3A, Spartan-3E, Spartan-6 and so on. The latter is Xilinx's high-end Virtex series, whose VirTEX-6, VirTEX-5, VirTEX-4, VirTEX-II Pro and VirTEX-II series FPGA products lead the field programmable gate array industry. The Virtex-7 is an ultra-

high-end FPGA product launched in 2011. After Xilinx officially announced its launch of the world's first 28nm process Kintex-7 to the outside world, not long ago, the company for the first time disclosed the details of the 7 series four chips Artix-7, Kintex-7,

Virtex-7 and Zynq, as well as the development resources around the 7 series.

Third, solutions needed for Xilinx AI applications

In recent years, the application of AI at the edge has become an unstoppable trend, and embedded AI refers to this application acceleration mode that can efficiently process various deep learning neural networks at the edge. Embedded AI can enable products to play

intelligent detection, identification, classification and other functions at the equipment level, so it has become a hot spot for intelligent product development or industrial upgrading.

However, embedded AI not only involves a series of integration problems such as algorithm design and tool design at the software level, but also chip design at the hardware level, so it is also a field of high threshold and complexity.

Main application markets and trends of embedded AI/ML

ADAS and autonomous driving, smart cities, smart healthcare and industrial vision applications are typical scenarios for embedded AI applications, and are also market areas where Xilinx has been focusing.

Automotive field

In the automotive field, Xilinx mainly focuses on forward, rear, circumnavigation, blind spot detection, automatic parking, intelligent cockpit, sensor fusion and domain control, covering ADAS and autonomous driving from L2 to L5 levels. We know that the automobile

is a special scenario, which requires the real-time and correctness of the entire ADAS or autonomous driving system, which requires embedded chips with superior AI acceleration capabilities, flexible chip architectures, and the industry's highest reliability testing

standards.

It is worth mentioning that in order to ensure the speed and correctness of decision-making and control in vehicle driving, multi-sensor fusion is an inevitable trend. Nowadays, cars are equipped with more and more sensors, such as cameras, radar, liDAR, millimeter

wave radar, ultrasound, and more, and Xilinx brings great value to this multi-sensor architecture. These play an important role in automotive multi-sensor solutions, and even 5G combined with AI vehicle-road collaboration.

Smart city field

Xilinx products have been widely used in the field of smart city, such as smart transportation, smart retail, smart buildings, etc. In addition to flexible I/O, support for MIPI, LVDS and a variety of sensor interfaces, flexible ISP support policies, H264/H265 video codec

processing units and other capabilities, Xilinx products also have powerful real-time AI processing capabilities.

Medical and industrial vision

The medical and industrial vision fields are also important scenes for the landing of Xilinx embedded AI. In the medical field, we can provide medical image analysis or super-resolution enhancement based on deep learning, and use AI to provide more accurate

judgments for medical personnel in endoscopy, ultrasound, nuclear magnetic, X-ray detection and other scenarios. Since the outbreak of COVID-19 in 2019, Xilinx and industry partner Spline.ai have used Vitis AI to combine MPSoC edge devices with integrated deep

learning processing unit Dpus and AWS iot services to develop scalable intelligent solutions for lung infections and COVID-19 prediction systems.

Industrial vision field

In the field of industrial vision, Xilinx products also play an important role in smart factories, intelligent industrial cameras, vision control and robots, etc. The role of AI is mainly reflected in the predictive maintenance control supported by machine learning such as

defect detection, text recognition, real-time analysis, remote diagnosis and other embedded intelligent terminals.

Embedded AI scene landing challenges and solutions

In the process of landing embedded AI products, the challenges encountered by developers are mainly:

· First, is the solution flexible and scalable to accommodate different product sizes or custom modules?

Second, for users who lack FPGA development experience, are there easy to use AI development tools to reduce the difficulty of development?

· Third, how to break through the bottleneck and maximize the acceleration performance of AI at the edge of limited computing power?

In order to meet these challenges, Xilinx officially launched the Vitis AI solution in early 2020, which is an AI development platform for Xilinx Zynq SoC, Zynq MPSoC, Alveo and Versal ACAP, which can bring users the most powerful Machine learning acceleration

performance, which is mainly achieved through the neural network acceleration engine DPU in the solution, a series of automated software tools (fixed-point processor, compiler, optimizer) and AI runtime and acceleration library.

Finally, in order to help customers achieve a breakthrough in edge performance, Xilinx integrated a large number of bottom-optimized acceleration libraries in the Vitis software development environment, and provided them to users through C++ and OpenCL library.

Therefore, in addition to DPU acceleration for AI, We speed up the entire process of end-to-end pre - and post-processing to maximize performance at the edge.

On February 14, 2022, AMD announced the completion of the acquisition of Xilinx, and former Xilinx Board members Jon Olson and Elizabeth Vanderslice have joined AMD's Board of directors.

Summarize

The above is about the relevant introduction of Xilinx chip. Hope to help you understand Xilinx chip products! More knowledge of electronic components please continue to pay attention to Joinwin ! Joinwin is a professional electronic components distributor, since its

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