XCS30XL-4PC84I_XQ2VP40-5FF152N Introduction

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. 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."

So far in semiconductor development, the inevitable fact is that Moore's Law is slowing down. Under the slowdown of Moore's law, Dennard's scaling law and Amdahl's law are close to the bottleneck, Moore even gave an "antidote", that is, "heterogeneous computing", which is now the solution of heterogeneous CPUs and accelerators. "Golden Age".

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Go language to FPGA platform builds custom, reprogrammable, low-latency accelerators using software-defined chips. GraphSim is a graph-based ArtSim SSSP algorithm. The GZIP accelerator provides hardware-accelerated gzip compression up to 25 times faster than CPU compression. The resulting archive conforms to the RFC 1952 GZIP file format specification. It is a preconfigured, ready-to-run image for executing Dijkstra's shortest path search algorithm on Amazon's FGPA-accelerated F1.

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.

Xilinx will provide a C++ framework to create Graphs from the kernel. In order to fully grasp the kernel location, there will be a series of methods available to constrain the layout (kernels, caches, system memory, etc.). This frame contains Graph nodes and connection declarations. The Graph will instantiate and wire the kernels together using caches and data streams. These nodes can be contained within an AI engine array or within programmable logic (HLS cores). It will also describe the bidirectional data transfer between the AI engine array and other ACAP devices (PL or DDR).

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.

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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.

In addition, Xilinx has released the world's first FPGA-based Open Compute Accelerator Module (OAM) proof-of-concept board. Based on Xilinx UltraScale+™ VU37P FPGA and equipped with 8GB HBM memory, the mezzanine card complies with the Open Accelerator Infrastructure (OAI) specification and can support seven 25Gbps x8 links, providing a rich inter-module system topology for distributed acceleration.