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2022-09-23 17:58:49
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XC7K70T-2FBG484C_AD202JY Introduction
In the developer session specially set up at the Xilinx Adapt - China Station Online Technology Conference, Lauren Gao, a senior Xilinx software tool expert, will explain in detail all the new functions and design methods mentioned in this article.
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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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.
Architecturally, FPGA accelerators like Alveo cards provide the highest performance at the lowest cost for many compute-intensive workloads. We enable customers to build Alveo HPC clusters on existing infrastructure and networks by introducing a standards-based approach.
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