公开(公告)号：US11726197B2

公开(公告)日：2023-08-15

申请号：US16653201

申请日：2019-10-15

Applicant: QUALCOMM TECHNOLOGIES, INC.

Inventor： Muthu M. Baskaran ,  Thomas Henretty ,  Ann Johnson ,  Athanasios Konstantinidis ,  M. H. Langston ,  Janice O. McMahon ,  Benoit J. Meister ,  Paul D. Mountcastle ,  Aale Naqvi ,  Benoit Pradelle ,  Tahina Ramananandro ,  Sanket Tavarageri ,  Richard A. Lethin

IPC: G01S13/72 ,  G01S7/41 ,  G01S7/48 ,  B64C39/02 ,  G01S3/786 ,  G01S17/66 ,  B64U101/20

CPC classification number: G01S13/723 ,  G01S7/411 ,  G01S7/4802 ,  B64C39/024 ,  B64U2101/20 ,  G01S3/7864 ,  G01S7/4808 ,  G01S17/66

Abstract: A system for determining the physical path of an object can map several candidate paths to a suitable path space that can be explored using a convex optimization technique. The optimization technique may take advantage of the typical sparsity of the path space and can identify a likely physical path using a function of sensor observation as constraints. A track of an object can also be determined using a track model and a convex optimization technique.

公开(公告)号：US11500557B2

公开(公告)日：2022-11-15

申请号：US16745890

申请日：2020-01-17

Applicant: QUALCOMM TECHNOLOGIES, INC.

Inventor： Muthu M. Baskaran ,  Thomas Henretty ,  Ann Johnson ,  Athanasios Konstantinidis ,  M. H. Langston ,  Janice O. McMahon ,  Benoit J. Meister ,  Paul D. Mountcastle ,  Aale Naqvi ,  Benoit Pradelle ,  Tahina Ramananandro ,  Sanket Tavarageri ,  Richard A. Lethin

IPC: G06F9/44 ,  G06F3/06 ,  G06F8/41

Abstract: A compilation system using an energy model based on a set of generic and practical hardware and software parameters is presented. The model can represent the major trends in energy consumption spanning potential hardware configurations using only parameters available at compilation time. Experimental verification indicates that the model is nimble yet sufficiently precise, allowing efficient selection of one or more parameters of a target computing system so as to minimize power/energy consumption of a program while achieving other performance related goals. A voltage and/or frequency optimization and selection is presented which can determine an efficient dynamic hardware configuration schedule at compilation time. In various embodiments, the configuration schedule is chosen based on its predicted effect on energy consumption. A concurrency throttling technique based on the energy model can exploit the power-gating features exposed by the target computing system to increase the energy efficiency of programs.