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2022-09-23 17:58:49
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XC7K70T-2FBG676C_AD1984AJCPZ Introduction
Software developers and data scientists can leverage the Vitis platform's advanced programming capabilities for applications and clusters to realize the benefits of Alveo and self-tuning computing. Xilinx has invested heavily in the Vitis development platform and tools to make self-tuning computing more accessible to software developers and data scientists without hardware expertise.
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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As we all know, problems such as Go, autonomous driving, RNA translation and transformation, and protein folding can now be solved by machine learning. Machine learning is about finding patterns in big data. Machine learning is clearly better than humans when dealing with petabytes of data.
In this way, we apply these advantages to all data centers on a large scale, which is a major advance in the wider application of Alveo and self-tuning computing in the data center field.
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