XC7K420T-3FF1156E_AD1895YRSZ Introduction

Xilinx has taken a leadership position in heterogeneous integration using technologies such as stacked silicon interconnect, while adding ARM processor subsystems, AI engines, or numerous connectivity blocks, such as NOC connectivity blocks and other hardware blocks, to Achieved impressive results.

Now, Xilinx and the entire academic community have completed a large amount of AI academic research in the field of EDA, covering the application of AI technology in the fields of synthesis, floor planning, layout routing, and static timing analysis.

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XC7K420T-3FF1156E_AD1895YRSZ

Both Xilinx and EDA companies have decades of data and are now leveraging AI to make the most of it. However, an important challenge in adopting machine learning in EDA companies is the lack of more specialized technical accumulation in a specific field. In the past few years, Xilinx has invested heavily in the field of machine learning, continuously acquiring AI technology and talents.

It is the industry's first FPGA EDA tool suite based on machine learning optimization algorithms and an advanced, team-oriented design flow. It improves QoR by an average of 10% with machine learning-based algorithms, and reduces compilation time with modular design. On average, it was shortened by a factor of 5. In June of this year, Xilinx released Vivado ML Edition.

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