Description

Xilinx Vivado is a machine-learning (ML) based computing system optimization platform designed for computing systems design teams. It enables users to accelerate design closure by automating strategies to reduce timing closure iterations, improve collaborative designs with block design containers, promote and handle patterns by multisite collaboration, accelerate the verification of block- and chip-level layouts, as well as optimize and reduce compile times. Features include delay and congestion estimation, on-demand content management, digital signal processing, compilation management, and recommendation management.