XC7K480T-2FF1156I_XC7Z100-L2FF900I Introduction

. The deal could be finalized as soon as next week, people familiar with the matter said. Advanced Micro Devices (AMD) is in advanced talks to buy chipmaker Xilinx in a deal that could be worth more than $30 billion.

It combines a scalar engine representing a processor system (PS), an adaptive engine representing a programmable logic (PL), and an intelligent engine using a high-bandwidth network-on-chip (NoC). The Versal Adaptive Compute Acceleration Platform (ACAP) is the latest generation of Xilinx devices built on TSMC's 7nm FinFET process technology.

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Among the four products, the flagship processor is the Ryzen 9 5950X, which is the same as the Ryzen 9 3950X, with dual CCD modules, 16 cores and 32 threads, 8MB L2 cache, and 64MB L3 cache, of which the L3 cache is from four 16MB blocks. It has become two pieces of 32MB, which are shared by 8 cores respectively. The maximum acceleration frequency has increased from 4.7GHz to 4.9GHz, and the base frequency is 3.4GHz.

Text is one of mankind's most intelligent and influential creations. The rich and precise high-level semantics contained in text can help us understand the world around us and be used to build autonomous solutions that can be deployed in real-world environments. Therefore, automatic text reading in natural environments, also known as scene text detection/recognition or Photo OCR (Optical Character Recognition), has become a research topic of increasing interest and importance in the field of computer vision.

In response to AMD's acquisition of Xilinx, the Wall Street Journal analyzed that AMD may use its high stock valuation as a bargaining chip to promote the transaction or delist Xilinx at a high price. AMD’s stock price has soared 89% this year, and its market value has now exceeded $100 billion to $101.568 billion.

As human language writing forms have evolved, thousands of unique character systems have developed. Plus case (uppercase/lowercase/full small/small case), italic (Italian/Roman), scale (horizontal scale), weight, specified size (display/text), squiggly, serif (Generally divided into serifs and sans-serifs), this number can scale to millions, making text recognition an exciting professional discipline in the field of machine learning.

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The need to reduce the cost of chips, reduce the risk of shooting, and shorten the time to market will further erupt. This is equivalent to the successful promotion of Xilinx, and will have higher competition with companies such as Intel and Nvidia. As current chip manufacturing processes become more complex and chip designs become more complex, initial costs for chip design manufacturers have skyrocketed, and the risks of tape have further increased. As a larger competitor, Altera has joined Intel in 2015, and Xilinx's new competitors have become Intel, NVIDIA and others. Against competitors like Intel and NVIDIA, you should focus on Xilinx's core competency, which is at the hardware level, it can be flexible and adaptable according to different workloads and forces, rather than traditional domain and competition.

In the OpenCV type relationship, we can say that the IplImage type inherits from the CvMat type, and of course other variables are included to parse it into image data. Another optimization of IplImage for images is the variable origin, to compensate for this, OpenCV allows users to define their own origin settings. The IplImage type has many more parameters than CvMat, such as depth and nChannels.