XCS30XL-4PC144I_XQ2V1000-4FG456M Introduction

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.

The accelerated computing of CPU+GPU+FPGA is undoubtedly aimed at the blue ocean of the data center field. Intel has repeatedly stated that it is a data-centric company, while NVIDIA has recently proposed acquisitions and released various The determination to "take the high ground" is constantly revealed in new products….

XCS30XL-4PC144I_XQ2V1000-4FG456M

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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.

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. A total of 4 CPUs were released this time, namely Ryzen9 5950X, Ryzen9 5900X, Ryzen7 5800X and Ryzen5 5600X.

. The connection from the NoC to the AI engine array is achieved through the NoC interface tile using the AXI4 memory-mapped interface. The AI engine interface consists of PL and NoC interface tiles and configuration tiles. The connection from the PL to the AI engine array is achieved through the PL and NoC interface tiles using the AXI4-Stream interface.

Judging from the official comparison data, the new generation of Ryzen 5000 series processors is much stronger than the tenth-generation products of competitors: Ryzen 9 5900X is 13% higher than i9-10900K in single thread and 23% higher in multi-thread. %, 3% better gaming performance at 1080p. Compared with the i7-10700K, the Ryzen 7 5800X is 9% higher in single thread, 11% higher in multi-thread, and the 1080p game performance is the same. Compared with the i5-10600K, the Ryzen 5 5600X is 19% higher in single thread, 20% higher in multi-threading, and 13% higher in 1080p gaming performance. Among them, the Ryzen 9 5900X processor has been praised by AMD as "the best gaming CPU in the world" - this title has always been in the hands of Intel. The brand new architecture, the strongest game processor should come, and so on, the party has not waited in vain.

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

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. 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. Especially in the era of artificial intelligence, Xilinx also hopes to realize the future of Intel and Nvidia through this advantage. The introduction of ACAP will help Xilinx compete with higher-level competitors in new markets. Split the SoC prototyping and emulation market. Apparently this applies to Intel and Nvidia. Flexibility and adaptability are the main selling points of ACAP. The competition between FPGAs and ASICs will continue.