XC7K420T-L2FFG901E_AD1938XSTZ Introduction

Not only does machine learning help improve QoR, it also reduces compile times and predicts and accelerates design closure strategies based on design patterns. Studies have shown a 10% improvement in QoR over the original compared to traditional EDA algorithms.

To reduce compilation time, Xilinx doubled down on team design. This year, newly introduced features enable hierarchical design from system design to implementation to deployment.

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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.

This has also led to a variety of design methods, the richness of which even exceeds the number of atoms in the universe. In other words, playing EDA is much harder than playing Go.

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