XQ Artix_XC6VLX550T-2FF1760C Introduction

This year, it has successively released the integrated SmartNIC platform AlveoU25, the strongest 7nm cloud chip Versal Premium, and an innovative TCON (Timing Controller, timing controller) solution for FPGA devices. As an FPGA (Field Programmable Gate Array)-based company, Xilinx's strategy lies in three aspects: "data center priority", "accelerating the development of the core market" and "driving adaptive computing".

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

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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.

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. 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. 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. 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.

Softnautics chose Xilinx technology to implement this solution because it integrates both the Vitis™ AI stack and powerful hardware capabilities. Today, Xilinx's rich and powerful platform supports 70% of new developments, leading the way in FPGA-based system design. .

A total of 4 CPUs were released this time, namely Ryzen9 5950X, Ryzen9 5900X, Ryzen7 5800X and Ryzen5 5600X. Since AMD launched the Ryzen 4000 series notebook platform APU processors at CES in January this year, in order to facilitate consumers to identify and search, the Zen 3 architecture processor series was directly named the 5000 series.

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XQ Artix_XC6VLX550T-2FF1760C

Especially in the era of artificial intelligence, Xilinx also hopes to realize the future of Intel and Nvidia through this advantage. However, at 7nm, FPGA speed and density are greatly increased, and power consumption is also lower, so this competitive landscape may change, especially for ASICs and FPGAs. The competition between FPGAs and ASICs will continue. Split the SoC prototyping and emulation market. Flexibility and adaptability are the main selling points of ACAP. The introduction of ACAP will help Xilinx compete with higher-level competitors in new markets. Apparently this applies to Intel and Nvidia. Intel's 10nm is still delayed, allowing Xilinx to dominate the FPGA market after acquiring Altera, in addition to the cloud market that Intel is focusing on.

While the CvMat and IplImage types are more focused on "images", OpenCV is optimized for image operations (scaling, single-channel extraction, image thresholding, etc.) The common data containers related to image operations in OpenCV are Mat, CvMat and IplImage. These three types can represent and display images. However, the Mat type focuses on calculation and is highly mathematical.