XC7K480T-2FF901C_AD1974WBSTZ 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.

Customers running large-scale computing workloads can benefit from this new RoCE v2-based cluster solution combined with Xilinx and run powerful HPC clusters with FPGAs on their existing data center infrastructure and networks.

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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.

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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