US Patent Issued to Synopsys on Oct. 14 for "Placing hard macros using machine learning predictions trained on different circuit designs" (California, North Carolina Inventors)

ALEXANDRIA, Va., Oct. 21 -- United States Patent no. 12,443,785, issued on Oct. 14, was assigned to Synopsys Inc. (Sunnyvale, Calif.).

"Placing hard macros using machine learning predictions trained on different circuit designs" was invented by Yi-Min Jiang (Campbell, Calif.), Xiang Gao (San Jose, Calif.), Lixin Shao (Sunnyvale, Calif.) and Pedja Raspopovic (Cary, N.C.).

According to the abstract* released by the U.S. Patent & Trademark Office: "In one aspect, QoR metrics for different candidate macro placements are estimated using machine learning models. A set of candidate macro placements of hard macros within a circuit design is assessed by estimating a quality metric for each candidate macro placement, as follows. Model-specific esti...