US Patent Issued to Red Hat on June 30 for "Systems and methods for activation sparse and kernel sparse general matrix multiplication in neural networks" (Massachusetts Inventors)

ALEXANDRIA, Va., July 16 -- United States Patent no. 12,670,370, issued on June 30, was assigned to Red Hat Inc. (Raleigh, N.C.).

"Systems and methods for activation sparse and kernel sparse general matrix multiplication in neural networks" was invented by Alexander Matveev (Cambridge, Mass.) and Nir Shavit (Cambridge, Mass.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A system and method for performing multiplication for a neural network, e.g. for data of one or more layers in a neural network, may include loading a portion of a compressed version of a sparse input matrix into a cache memory; uncompressing a subset of the data in the portion of the compressed version of the sparse input matrix; and multip...