Invention Grant
US08601298B2 System and method for determining optimal operating parameters for conserving power in a portable device from a hypersurface which represents optimal values of the operating parameters under various synthetic workloads 失效
用于确定用于从便携式设备中节省来自超表面的最佳操作参数的系统和方法,其表示在各种合成工作负载下的操作参数的最佳值

  • Patent Title: System and method for determining optimal operating parameters for conserving power in a portable device from a hypersurface which represents optimal values of the operating parameters under various synthetic workloads
  • Patent Title (中): 用于确定用于从便携式设备中节省来自超表面的最佳操作参数的系统和方法,其表示在各种合成工作负载下的操作参数的最佳值
  • Application No.: US12882368
    Application Date: 2010-09-15
  • Publication No.: US08601298B2
    Publication Date: 2013-12-03
  • Inventor: Brian J. SalsberyNorman S. Gargash
  • Applicant: Brian J. SalsberyNorman S. Gargash
  • Applicant Address: US CA San Diego
  • Assignee: QUALCOMM Incorporated
  • Current Assignee: QUALCOMM Incorporated
  • Current Assignee Address: US CA San Diego
  • Agent Nicholas A. Cole
  • Main IPC: G06F1/26
  • IPC: G06F1/26 G06F1/32
System and method for determining optimal operating parameters for conserving power in a portable device from a hypersurface which represents optimal values of the operating parameters under various synthetic workloads
Abstract:
A method and system for determining optimal operating parameters for conserving power of a portable computing device may include plotting a hypersurface in a coordinate system. The method includes defining one or more axes in a coordinate system, such as a Cartesian coordinate system, that impact power consumption of a PCD and which may be held as constants when applied as workloads on CPU. Then, at least one axis is identified as an unknown or variable which may be optimized for power consumption. After the hypersurface containing optimized values is created for various workload scenarios for the PCD, workloads corresponding to the synthetic workloads described above are applied to the PCD. Workload predictors, like a DCVS algorithm, are executed by the PCD and are observed and compared to the hypersurface. Parameters for the workload predictor may be adjusted based on the values from the hypersurface.
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