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  • 2022-09-23 17:58:49

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XC7K70T-3FBG676E_AD1985JST-REEL Introduction

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.

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.

Therefore, the trade-off often faced in EDA is between compile time and QoR. To make matters worse, the optimization algorithm itself is polynomial and can fluctuate exponentially with the size of the design.

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