US Patent Issued to University of Southern California on Nov. 11 for "Self-optimizing and self-programming computing systems: a combined compiler, complex networks, and machine learning approach" (California Inventors)

ALEXANDRIA, Va., Nov. 11 -- United States Patent no. 12,468,929, issued on Nov. 11, was assigned to University of Southern California (Los Angeles).

"Self-optimizing and self-programming computing systems: a combined compiler, complex networks, and machine learning approach" was invented by Paul Bogdan Bogdan (Los Angeles), Shahin Nazarian (Los Angeles) and Yao Xiao (Los Angeles).

According to the abstract* released by the U.S. Patent & Trademark Office: "A self-optimizing and self-programming computing system (SOSPCS) design framework that achieves both programmability and flexibility and exploits computing heterogeneity [e.g., CPUs, GPUs, and hardware accelerators (HWAs)] is provided. First, at compile time, a task pool consisting of hy...