ALEXANDRIA, Va., Dec. 9 -- United States Patent no. 12,493,827, issued on Dec. 9, was assigned to QUALCOMM Inc. (San Diego).
"Distributed machine learning compiler optimization" was invented by Weiliang Zeng (San Diego), Christopher Lott (San Diego), Edward Teague (San Diego), Yang Yang (San Diego) and Joseph Binamira Soriaga (San Diego).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method for optimizing the compilation of a machine learning model to be executed on target edge devices is provided. Compute nodes of a plurality of compute nodes are allocated to a compiler optimization process for a compiler of said machine learning model. The machine learning model has a compute graph representation having n...