US Patent Issued to Cisco Technology on Sept. 1 for "Efficient scaling of partitioned neural network inference" (California, Washington Inventors)

ALEXANDRIA, Va., Sept. 1 -- United States Patent no. 12,725,048, issued on Sept. 1, was assigned to Cisco Technology Inc. (San Jose, Calif.).

"Efficient scaling of partitioned neural network inference" was invented by Myungjin Lee (Bellevue, Wash.), Jayanth Srinivasa (San Jose, Calif.), Ali Payani (Santa Clara, Calif.) and Ramana Rao V. R. Kompella (Foster City, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "In one implementation, a controller determines performance of a partitioned neural network. The controller identifies, based on the performance, a particular partition of the partitioned neural network as a bottleneck. The controller configures a first device to execute a replica of the particular...