XC7K410T-3FFG900C_XC7Z030-1SBG485C Introduction

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….

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. 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. 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.

XC7K410T-3FFG900C_XC7Z030-1SBG485C

XC7K325T-L2FFG900E

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

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.

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. 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.

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. A scalar processor will handle most of the code. Xilinx will provide pre-built kernels (included in the library) for users to use in their custom graphs. Any C/C++ code can be used to program the AI engine. A kernel is used to describe a specific computing process. 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.

XC7K410T-3FFG900C_XC7Z030-1SBG485C

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XC7K410T-3FFG900C_XC7Z030-1SBG485C

To advance flexible computing, Victor Pen, Silent will launch a new family of product types, AcP (Adaptive Compute Acceleration Platform). If FPGAs are a product type, and there are multiple modalities within it, ACAP is an individual product type comparable to CPUs and GPUs, helping us achieve a smart, connected and flexible world. In terms of the second strategy, Silence will accelerate growth in mainstream markets, supporting rapid customer growth in areas such as automotive, wireless infrastructure, wireline communications, industrial and consumer electronics. Mr. Peng emphasized that Xilinx can participate in the process from one end to another cloud, which is a unique advantage, and it can achieve comprehensive coverage from end to cloud.

The need to reduce chip cost, reduce chip risk and shorten time to market will further surge. As the current chip manufacturing process becomes more and more complex, the chip design becomes more and more complex, the cost of chip designers soars, and the risk of chip streaming is further increased.