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Tyler K Bletsch

age ~42

from Durham, NC

Also known as:
  • Tyler Kenneth Bletsch
  • Bletsch Tyler
Phone and address:
5508 Welkin Ct, Durham, NC 27713

Tyler Bletsch Phones & Addresses

  • 5508 Welkin Ct, Durham, NC 27713
  • Raleigh, NC
  • Charlotte, NC

Us Patents

  • Method For Equalizing Performance Of Computing Components

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  • US Patent:
    7979729, Jul 12, 2011
  • Filed:
    Nov 29, 2007
  • Appl. No.:
    11/947017
  • Inventors:
    Tyler K. Bletsch - Raleigh NC, US
    Wesley M. Felter - Austin TX, US
    Neven A. Gazala - Pittsburgh PA, US
    Tibor Horvath - Charlottesville VA, US
    Charles R. Lefurgy - Austin TX, US
  • Assignee:
    International Business Machines Corporation - Armonk NY
  • International Classification:
    G06F 1/00
    G06F 11/30
  • US Classification:
    713340, 713300, 713320, 700 4, 700 28, 700 29, 700 31
  • Abstract:
    A performance measure (e. g. , processor speed) for computing components such as servers is optimized by creating models of power consumption versus the performance measure for each server, adding the power models to derive an overall power model, and calculating an optimum set point for the performance measure which corresponds to a power limit on the servers using the overall power model. The set point is then used to set power budgets for the servers based on their power models, and the servers maintain power levels no greater than their respective power budgets. The server power models are preferably created in real time by monitoring power consumption and the performance measure to derive sets of data points for the servers, and performing regression on the sets of data points to yield power models for the servers. Multiple server power models may be created for different program applications.
  • Estimating Power Consumption Of Computing Components Configured In A Computing System

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  • US Patent:
    8041521, Oct 18, 2011
  • Filed:
    Nov 28, 2007
  • Appl. No.:
    11/946506
  • Inventors:
    Tyler K. Bletsch - Raleigh NC, US
    Ajay Dholakia - Apex NC, US
    Wesley M. Felter - Austin TX, US
    Charles R. Lefurgy - San Marcos TX, US
  • Assignee:
    International Business Machines Corporation - Armonk NY
  • International Classification:
    G01R 21/00
    G06F 1/00
  • US Classification:
    702 60, 702186, 713300
  • Abstract:
    Methods, apparatus, and products as disclosed for estimating power consumption of computing components configured in a computing system that include: selecting, by a power estimation module, a plurality of calibration datasets from a calibration dataset repository, each calibration dataset specifying calibration power consumption by one or more computing components in the computing system for a calibration workload at a plurality of calibration operating points; measuring, by the power estimation module, a current power consumption by one or more measured computing components in the computing system for a current workload at a current operating point; determining, by the power estimation module, an estimated power consumption for the measured computing components at a proposed operating point in dependence upon the selected calibration datasets and the current power consumption for the current workload at the current operating point; and administering the computing system in dependence upon the estimated power consumption.
  • Method And System For Estimating Processor Utilization From Power Measurements

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  • US Patent:
    20080229127, Sep 18, 2008
  • Filed:
    Mar 15, 2007
  • Appl. No.:
    11/686418
  • Inventors:
    Wesley M. Felter - Austin TX, US
    Charles R. Lefurgy - San Marcos TX, US
    Tyler Bletsch - Raleigh NC, US
  • International Classification:
    G06F 1/26
    G06F 1/32
  • US Classification:
    713320, 713322
  • Abstract:
    A method and system for estimating processor utilization from power measurements provides an estimate of processor utilization that can be computed outside of the processor and operating system. Measurements of the processor power consumption are gathered over short intervals in a histogram. The idle power consumption of the processor is determined, and a threshold value higher than the idle power consumption level is computed from the idle power consumption. The number of histogram counts for bins greater than the threshold is normalized to the total number of measurements, providing a fractional value that corresponds to the processor utilization over the measurement interval. The fractional value can then be used in a power management algorithm that adjusts the frequency and optionally the voltage of the processor or group of processors based on their utilization.

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