公开(公告)号：US20200342632A1

公开(公告)日：2020-10-29

申请号：US16397034

申请日：2019-04-29

Applicant: NVIDIA Corporation

Inventor： Michael FRUMKIN ,  Jeffrey POOL ,  Jorge ALBERICIO LATORRE

IPC: G06T9/00

Abstract: Many computing systems process data organized in a matrix format. For example, artificial neural networks perform numerous computations on data organized into matrices using conventional matrix arithmetic operations. One such operation is the transpose operation. Techniques are introduced for storing a matrix in a compressed format that allows, for example, a transpose operation to be performed during decompression. Thus, by utilizing the introduced techniques, transformations of compressed matrices such transposition can be achieved in a more effective way. Parallel processing may also be used to more efficiently compress and/or decompress.