Intel Corporation

Tektronix, Inc.

Sunil K Mahawar

Justin J Song

Joseph A Schaefer

Andy Hoffman

Devadatta V (Deva) Bodas

Muralidhar (Murali) Rajappa

James W (Jimbo) Alexander

Devadatta V Bodas

James W Alexander

Muralidhar Rajappa

Sriram Mandyam Krishnakumar

Mahesha Guttahalli Lakshmipathy

Satish Kumar Makanahalli Ramaiah

A test and measurement system for parallel waveform analysis acquires waveforms resulting from performing tests on a device under test (DUT) and performs, at least partially in parallel, respective analyses of the waveforms resulting from performing tests on the DUT. The system also acquires a first waveform resulting from performing a first test with an oscilloscope on a DUT and performs analysis of the first waveform at least partially in parallel with acquiring a second waveform. Additionally, the system tracks a plurality of testing assets using inventory information of a plurality of testing equipment on the network and enables remote users to access equipment logs and results of the respective analyses of the waveforms stored on a cloud computing system for performance of analytics.

Test and measurement system for parallel waveform analysis

A process identifier for a job is collected. The job runs on a plurality of nodes. The job is identified using the process identifier. A node for the job is identified. An amount of power consumed by the node to run the job is determined.

Profiling a job power and energy consumption for a data processing system

An indication of a mode for a job is received. An available power for the job is determined based on the mode. A first power for the job is allocated based on the available power. A first frequency for the job is determined based on the available power. The first power is adjusted based on the available power.

Power aware job scheduler and manager for a data processing system

A non-transitory computer readable storage medium having stored thereon instructions executable by one or more processors to perform operations including: receiving a plurality of input parameters including (i) a workload type, (ii) a list of selected nodes belonging to a distributed computer system, and (iii) a list of frequencies; responsive to receiving the plurality of workload parameters, retrieving calibration data from a calibration database; generating a power estimate based on the plurality of workload parameters and the calibration data; and providing the power estimate to a resource manager is shown. Alternatively, the input parameters may include (i) a workload type, (ii) a list of selected nodes belonging to a distributed computer system, and (iii) an amount of available power, wherein the estimator may provide an estimation of the frequency at which the nodes should operate to utilize as much of the available power without exceeding the available power.

Methods and apparatus to estimate power performance of a job that runs on multiple nodes of a distributed computer system

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Portland, OR, United States of America

Sunil K Mahawar