XC7K480T-1FFV1156C_XC7Z100-3FFG900I Introduction

The explosive growth of data places higher and higher demands on computing speed. Moore's Law is slowing down in Greater China, where innovation is growing at a high rate. The original chip solutions can no longer meet the needs of the company, and there is an urgent need to develop new products, new technologies and new business models. In Victor Peng's view, the big bang of geometric multiples, AI applications from end-to-edge to cloud, and post-Moore's law computing, all of which cannot be satisfied by a single architecture, which will be the three major factors affecting silence and the future of the world trend.

In order to better adapt to the new world of intelligent interconnection, Xilinx continues to take "flexible platform" as the core of its products, seizes new industrial opportunities, and formulates three major development strategies to support wider market applications. Victor Peng pointed out that the first strategy is "data center first." In the data center space, it is important to realize that Xilinx can support not only compute acceleration and data center applications, but also value-creating storage and networking.

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However, in the third quarter, the demand for the semiconductor market has recovered significantly, and the cost expenditure has increased, and a new wave of mergers and acquisitions has emerged. In fact, 2020 was supposed to be a sluggish year for mergers and acquisitions in the semiconductor market, affected by the new crown epidemic and Sino-US relations. These two transactions have made the global semiconductor landscape go through a new round of mergers and acquisitions and reshuffles. If AMD reaches an acquisition agreement with Xilinx, the value of semiconductor M&A transactions in 2020 may also rise to $93.1 billion, making it the third largest merger and acquisition year in the history of the semiconductor industry. According to the report data released by IC Insights, a third-party analysis agency on September 29, the total value of global semiconductor mergers and acquisitions soared to US$63.1 billion in the first nine months of 2020, of which the two transactions of Nvidia-Arm and ADI-Maxim accounted for about 97% of total M&A in 2020. In the first quarter of this year, the value of semiconductor M&A transactions was $1.8 billion, and it only reached $165 million in the second quarter.

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.

Ultimately, Softnautics uses the solution for real-time scene text detection in video pipelines and uses a robust dataset to refine the model. It runs on the processing side (PS) using the N2Cube software. Softnautics took the Xilinx Vitis AI stack and used the software to provide acceleration to develop hybrid applications while implementing LSTM functionality for efficient sequence prediction by porting/migrating TensorFlow-lite to ARM. Image pre-processing/post-processing is implemented by Vivado using HLS, while Vitis's role is to perform inference using Connected Text Proposal Network (CTPN).

Xilinx once revealed to the media that because Intel acquired Altera, many potential customers will hand over more orders to Xilinx for the sake of neutrality, so Xilinx's share in the FPGA market has increased significantly in the past two years. Some industry analysts pointed out that if AMD succeeds in winning Xilinx, it will bring a new competitive landscape to the global semiconductor industry. Like the outside world's neutral view of Arm, once AMD successfully acquires Xilinx, downstream customers will only have two choices when purchasing FPGA chips and related solutions, which will increase the concerns of downstream companies.

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Interestingly, it can be seen that the AXI4 memory-mapped direct communication channel exists only between the NoC to the AI engine tile, but not from the AI engine tile to the NoC.

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.