公开(公告)号：US20250131258A1

公开(公告)日：2025-04-24

申请号：US19001327

申请日：2024-12-24

Applicant: QUALCOMM Incorporated

Inventor： Aaron LAMB ,  Rexford HILL ,  Amin ANSARI

IPC: G06N3/063 ,  G06F7/544 ,  G06N3/044 ,  G06N3/045 ,  G06N3/047 ,  G06N3/084

Abstract: The present disclosure describes methods, computer-readable media, and apparatuses for operating neural networks. For example, an apparatus may receive a set of sparse weight vectors. The apparatus may perform a sparse computation based on the set of sparse weight vectors. The apparatus may combine sparse weight vectors in response to determining a combined time to perform respective numbers of MAC operations for the sparse weight vectors satisfies a threshold number of clock cycles. The apparatus may operate a neural network based at least in part on one or more partial sums produced in performing the sparse computation.

公开(公告)号：US20180060278A1

公开(公告)日：2018-03-01

申请号：US15255015

申请日：2016-09-01

Applicant: QUALCOMM Incorporated

Inventor： Dexu LIN ,  Edward LIAO ,  Somdeb MAJUMDAR ,  Aaron LAMB ,  Karamvir CHATHA

IPC: G06F17/17

CPC classification number: G06F17/17 ,  G06F7/544 ,  G06F2207/5354

Abstract: Computing a non-linear function ƒ(x) in hardware or embedded systems can be complex and resource intensive. In one or more aspects of the disclosure, a method, a computer-readable medium, and an apparatus are provided for computing a non-linear function ƒ(x) accurately and efficiently in hardware using look-up tables (LUTs) and interpolation or extrapolation. The apparatus may be a processor. The processor computes a non-linear function ƒ(x) for an input variable x, where ƒ(x)=g(y(x),z(x)). The processor determines an integer n by determining a position of a most significant bit (MSB) of an input variable x. In addition, the processor determines a value for y(x) based on a first look-up table and the determined integer n. Also, the processor determines a value for z(x) based on n and the input variable x, and based on a second look-up table. Further, the processor computes ƒ(x) based on the determined values for y(x) and z(x).

公开(公告)号：US20190087713A1

公开(公告)日：2019-03-21

申请号：US16137491

申请日：2018-09-20

Applicant: QUALCOMM Incorporated

Inventor： Aaron LAMB ,  Rexford HILL ,  Amin ANSARI

IPC: G06N3/04 ,  G06F7/544

Abstract: The present disclosure describes methods, computer-readable media, and apparatuses for operating neural networks. For example, a first apparatus may receive a set of sparse weight vectors. The first apparatus may compress the set of sparse weight vectors to produce a compressed set of sparse weight vectors. The first apparatus may operate a neural network based on the compressed set of sparse weight vectors. In another example, a second apparatus may receive a set of sparse weight vectors. The second apparatus may perform a sparse computation based on the set of sparse weight vectors, and the performance of the sparse computation may produce one or more partial sums. The second apparatus may operate a neural network based at least in part on the one or more partial sums.