公开(公告)号：US20170199542A1

公开(公告)日：2017-07-13

申请号：US15170615

申请日：2016-06-01

申请人： QUALCOMM Incorporated

发明人： Lucille Garwood Sylvester ,  Navid Farazmand ,  Brian Salsbery ,  Jeremy Gebben

IPC分类号： G06F1/08 ,  G06T1/20 ,  G06F13/16

CPC分类号： G06F1/08 ,  G06F1/324 ,  G06F1/325 ,  G06F1/3253 ,  G06F1/3275 ,  G06F13/16 ,  G06T1/20 ,  G06T2200/28 ,  Y02D10/14

摘要： Example implementations and techniques are described in which a processor uses a dynamic adjustment algorithm, including algorithms based on performance and energy models, to readjust frequency settings for a graphics processing unit (GPU), and independently for a system memory or for a system memory bus, to an optimal level for meeting sustained performance requirements with the low level of power consumption.

公开(公告)号：US10007292B2

公开(公告)日：2018-06-26

申请号：US15170615

申请日：2016-06-01

申请人： QUALCOMM Incorporated

发明人： Lucille Garwood Sylvester ,  Navid Farazmand ,  Brian Salsbery ,  Jeremy Gebben

IPC分类号： G06F1/00 ,  G06F1/08 ,  G06F13/16 ,  G06T1/20

CPC分类号： G06F1/08 ,  G06F1/324 ,  G06F1/325 ,  G06F1/3253 ,  G06F1/3275 ,  G06F13/16 ,  G06T1/20 ,  G06T2200/28 ,  Y02D10/126 ,  Y02D10/13 ,  Y02D10/14 ,  Y02D10/151

摘要： Example implementations and techniques are described in which a processor uses a dynamic adjustment algorithm, including algorithms based on performance and energy models, to readjust frequency settings for a graphics processing unit (GPU), and independently for a system memory or for a system memory bus, to an optimal level for meeting sustained performance requirements with the low level of power consumption.

公开(公告)号：US20170199558A1

公开(公告)日：2017-07-13

申请号：US15238267

申请日：2016-08-16

申请人： QUALCOMM Incorporated

发明人： Navid Farazmand ,  Anish Muttreja ,  Eduardus Antonius Metz ,  Lucille Garwood Sylvester ,  Brian Salsbery

IPC分类号： G06F1/32

CPC分类号： G06F1/3206 ,  G06F1/324 ,  G06F1/325 ,  G06F1/3296 ,  G06F9/50 ,  G09G5/003 ,  G09G5/363 ,  G09G2330/021 ,  G09G2340/0435

摘要： At least one processor may determine, for each of a plurality of operating performance points (OPPs) that each comprise a memory frequency and a graphics processing unit (GPU) frequency, an estimated energy consumption associated with a memory and the GPU operating at the respective memory frequency and GPU frequency to process a workload based at least in part on a plurality of energy equations associated with the plurality of OPPs. The at least one processor may set the memory and the GPU to operate at the respective memory frequency and GPU frequency of one of the plurality of OPPs to process the workload based at least in part on the estimated energy consumption.