US Patent Issued to Intel on July 22 for "Machine learning architecture support for block sparsity" (California Inventor)

ALEXANDRIA, Va., July 23 -- United States Patent no. 12,367,255, issued on July 22, was assigned to Intel Corp. (Santa Clara, Calif.).

"Machine learning architecture support for block sparsity" was invented by Omid Azizi (Redwood City, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "This disclosure relates matrix operation acceleration for different matrix sparsity patterns. A matrix operation accelerator may be designed to perform matrix operations more efficiently for a first matrix sparsity pattern rather than for a second matrix sparsity pattern. A matrix with the second sparsity pattern may be converted to a matrix with the first sparsity pattern and provided to the matrix operation accelerator. B...