XCS30XL-4PC208C_XQ2V3000-4BG728N Introduction

AMD's stock price has risen 89% this year, and its current market value exceeds $100 billion, thanks to the new crown epidemic working from home to increase market demand for PCs, game consoles and other devices that use AMD chips. Xilinx, which has a market value of about $26 billion, has gained about 9 percent this year, slightly ahead of the S&P 500's 7 percent gain. .

Today, there is a lot of breaking news about AMD. Excellent performance and excellent specifications let consumers once again call out: AMD YES!. First of all, AMD officially announced the new Zen 3 CPU architecture and brought the latest generation of Ryzen 5000 series desktop processors.

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Note, however, that multiple cores can run on the same AI engine tile and share processing time. These functions are dedicated to the AI engine's vector processor, allowing you to unleash huge processing power from the AI engine. Xilinx will provide pre-built kernels (included in the library) for users to use in their custom graphs. If your goal is to design a high-performance core, you should consider a vector processor, which uses specialized functions called intrinsics. Each core will run on a single AI engine tile. Any C/C++ code can be used to program the AI engine. A kernel is used to describe a specific computing process. A scalar processor will handle most of the code.

Xilinx will provide a C++ framework to create Graphs from the kernel. In order to fully grasp the kernel location, there will be a series of methods available to constrain the layout (kernels, caches, system memory, etc.). This frame contains Graph nodes and connection declarations. The Graph will instantiate and wire the kernels together using caches and data streams. These nodes can be contained within an AI engine array or within programmable logic (HLS cores). It will also describe the bidirectional data transfer between the AI engine array and other ACAP devices (PL or DDR).

Introduction to the Xilinx AI Engine The AI Engine is included in some Xilinx Versal ACAPs. These AI engines can be arranged and combined into a two-dimensional array of AI engine tiles connected to memory, data streams, and cascaded interfaces. On current ACAP devices (eg, the VC1902 device), this array can contain up to 400 tiles. The array also contains an AI engine interface (on the bottom row) to facilitate interaction with other devices (PS, PL, and NoC) in the array.

AI Engine Array Programming AI Engine tiles are arrayed in units of 10 or 100. Creating a single program that embeds multiple instructions to specify parallelism would be a tedious and near-impossible task. So the commonality between AI engine array model programming and Kahn Process Networks is that autonomous computing processes are interconnected with each other through the communication edge, resulting in a processing network.

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The need to reduce chip cost, reduce chip risk and shorten time to market will further surge. As the current chip manufacturing process becomes more and more complex, the chip design becomes more and more complex, the cost of chip designers soars, and the risk of chip streaming is further increased.

Even in the chip design of cpu and other chip giants such as Xilinx and intel, they will first simulate on the fpga, and then perform the streaming processing of the chip, not to mention the AI-specific chips launched by many AI algorithm companies in recent years. . In 2013, the global FPGA market size was $4.563 billion, and by 2018, this figure will grow to $6.335 billion. With the development of 5G and artificial intelligence, it is expected that by 2025, the scale of FPGAs will reach about 12.521 billion US dollars. On the one hand, chip manufacturers need to rely on FPGAs for simulation and prototyping; on the other hand, CPUs, GPUs, FPGAs, and ASICs (application-specific integrated circuits) are increasingly competing in the AI market. In the global fpga market, Xilinx and altera have a market share of about 90%. Sales revenue was US$850 million, an increase of 24% over the same period last year; net profit was US$241 million, an increase of 27% over the same period last year.

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