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Metrics for evaluating energy saving techniques for resilient HPC systems

Proceedings - IEEE 28th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014

Grant, Ryan E.; Olivier, Stephen L.; Laros, James H.; Brightwell, Ronald B.; Porterfield, Allan K.

The metrics used for evaluating energy saving techniques for future HPC systems are critical to the correct assessment of proposed methods. Current predictions forecast that overcoming reduced system reliability, increased power requirements and energy consumption will be a major design challenge for future systems. Modern runtime energy-saving research efforts do not take into account the energy spent providing reliability. They also do not account for the increase in the probability of failure during application execution due to runtime overhead from energy saving methods. While this is very reasonable for current systems, it is insufficient for future generation systems. By taking into account the energy consumption ramifications of increased runtimes on system reliability, better energy saving techniques can be developed. This paper demonstrates how to determine the impact of runtime energy conservation methods within the context of failure-prone large scale systems. In addition, a survey of several energy savings methodologies is conducted and an analysis is performed with respect to their effectiveness in an environment in which failures occur.

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TYPE Conference YEAR 2014
ScopusOSTIDOI

High Performance Computing - Power Application Programming Interface Specification

Laros, James H.; Kelly, Suzanne M.; Pedretti, Kevin P.; Grant, Ryan E.; Olivier, Stephen L.; Levenhagen, Michael J.; DeBonis, David D.

Measuring and controlling the power and energy consumption of high performance computing systems by various components in the software stack is an active research area [13, 3, 5, 10, 4, 21, 19, 16, 7, 17, 20, 18, 11, 1, 6, 14, 12]. Implementations in lower level software layers are beginning to emerge in some production systems, which is very welcome. To be most effective, a portable interface to measurement and control features would significantly facilitate participation by all levels of the software stack. We present a proposal for a standard power Application Programming Interface (API) that endeavors to cover the entire software space, from generic hardware interfaces to the input from the computer facility manager.

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TYPE SAND Report YEAR 2014
OSTIDOI

Power/energy use cases for high performance computing

Laros, James H.; Kelly, Suzanne M.

Power and Energy have been identified as a first order challenge for future extreme scale high performance computing (HPC) systems. In practice the breakthroughs will need to be provided by the hardware vendors. But to make the best use of the solutions in an HPC environment, it will likely require periodic tuning by facility operators and software components. This document describes the actions and interactions needed to maximize power resources. It strives to cover the entire operational space in which an HPC system occupies. The descriptions are presented as formal use cases, as documented in the Unified Modeling Language Specification [1]. The document is intended to provide a common understanding to the HPC community of the necessary management and control capabilities. Assuming a common understanding can be achieved, the next step will be to develop a set of Application Programing Interfaces (APIs) to which hardware vendors and software developers could utilize to steer power consumption.

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TYPE SAND Report YEAR 2013
OSTIDOI

Qualification for PowerInsight accuracy of power measurements

Laros, James H.; Pedretti, Kevin P.

Accuracy of component based power measuring devices forms a necessary basis for research in the area of power-efficient and power-aware computing. The accuracy of these devices must be quantified within a reasonable tolerance. This study focuses on PowerInsight, an out- of-band embedded measuring device which takes readings of power rails on compute nodes within a HPC system in realtime. We quantify how well the device performs in comparison to a digital oscilloscope as well as PowerMon2. We show that the accuracy is within a 6% deviation on measurements under reasonable load.

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TYPE SAND Report YEAR 2013
OSTIDOI
Results 76–100 of 148
Results 76–100 of 148