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Xilinx, a global leader in self-commissioning and smart computing, announced that it has joined the Open RAN Policy Coalition to support the development and deployment of Open RAN 5G technology. Members of the Open RAN Policy Alliance advocate for Open RAN as the preferred solution for improving interoperability and security in a multi-vendor industrial ecosystem.

The X2562 is sampling now and will be available in volume in the second quarter of 2020. Xilinx also introduced the new XtremeScale X2562 10/25Gb Ethernet adapter card, which complies with the OCP Spec 3.0 form factor. Designed for high-performance electronic trading environments and enterprise-class data centers, the X2562 delivers sub-microsecond latency, high throughput, and hyperscale connectivity to connect real-time packets and traffic to thousands of virtual NICs .

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"The automotive-grade Zynq-7000 All Programmable SoC combines an FPGA and a high-performance embedded processor, making it the most efficient solution for real-time computer vision applications," said Roberto Marzotto, a design engineer at eVS. Applications require high-intensity low-level pixel computation and advanced complex control algorithms, with optimal partitioning between software/hardware.

FAGP runs on a variety of accelerator cards on-premises or in the cloud, including AWS, Huawei, and Alibaba. FireSim is a cycle-accurate open-source FPGA-accelerated full-system hardware simulation platform running on cloud FPGAs (Amazon EC2 F1). FAGP (Falcon Accelerated Genomics Pipelines) is an accelerated genome analysis software solution that runs on Xilinx Alveo accelerator cards to provide faster turnaround times for computationally intensive algorithms in the life sciences.

The VivadoHLS video library is used to replace many basic OpenCV functions. It has similar interfaces and algorithms to OpenCV. It is mainly aimed at image processing functions implemented in the FPGA architecture, and includes FPGA-specific optimizations, such as fixed-point operations instead of floating-point operations. (Not necessarily accurate to bits), on-chip line buffer (line buffer) and window buffer (window buffer). Figure 2.1 shows the system architecture for implementing video processing on a Xilinx Zynq AP SoC device.

The Zynq-7000 All Programmable SoC will undergo more stringent testing than the AEC-Q100 qualification requirements and will be available under the Xilinx Automotive (XA) product family, ensuring it meets the often extremely stringent environmental requirements for automotive applications, including temperature, quality and reliability requirements. Develop unique and differentiated driver assistance applications faster.

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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. 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. This is equivalent to the successful promotion of Xilinx, and will have higher competition with companies such as Intel and Nvidia. As a larger competitor, Altera has joined Intel in 2015, and Xilinx's new competitors have become Intel, NVIDIA and others. 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.

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. 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. 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. . 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. In 2013, the global FPGA market size was $4.563 billion, and by 2018, this figure will grow to $6.335 billion.

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