High Performance Computing - Power Application Programming Interface Specification Version 1.4

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

doi:10.2172/1331358

Cited by 9 publications

(3 citation statements)

References 17 publications

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“…Though PAPI supports various processor architectures, it mainly provides us interfaces to monitor hardware counter information and is not for controlling the hardware. Power API has also been developed to provide standardized interfaces to measure/control power on HPC systems [8]. It provides us unified interfaces and abstraction layers to users, system administrators, applications, and so on.…”

Section: Interfaces To Control Power-knobsmentioning

confidence: 99%

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A Power Management Framework with Simple DSL for Automatic Power-Performance Optimization on Power-Constrained HPC Systems

Wada

Cao

et al. 2018

Supercomputing Frontiers

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To design exascale HPC systems, power limitation is one of the most crucial and unavoidable issues; and it is also necessary to optimize the power-performance of user applications while keeping the power consumption of the HPC system below a given power budget. For this kind of power-performance optimization for HPC applications, it is indispensable to have enough information and good understanding about both the system specifications (what kind of hardware resources are included in the system, which component can be used as a "power-knob", how to control the power-knob, etc.) and user applications (which part of the application is CPU-intensive, memory-intensive, and so on). Because this situation forces both the users and administrators of power-constrained HPC systems pay much effort and cost, it has been highly demanded to realize a simple framework to automate a power-performance optimization process, and to provide a simple user interface to the framework. To tackle these concerns, we propose and implement a versatile framework to help carry out power management and performance optimization on power-constrained HPC systems. In this framework, we also propose a simple DSL as an interface to utilize the framework. We believe this is a key to effectively utilize HPC systems under the limited power budget.

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Section: Interfaces To Control Power-knobsmentioning

confidence: 99%

“…To address these problems, some of power management related tools and APIs such as GeoPM [5] and PowerAPI [8] have been developed. These tools/APIs are user-centric and need hand-tuning efforts for efficient power management.…”

Section: Introductionmentioning

confidence: 99%

A Power Management Framework with Simple DSL for Automatic Power-Performance Optimization on Power-Constrained HPC Systems

Wada

Cao

et al. 2018

Supercomputing Frontiers

View full text Add to dashboard Cite

show abstract

“…This work performed quantitative, temporal analysis of a significant portion of the NNSA/ASC application portfolio that revealed wide variation among individual applications for energy saving potential. Larger scale efforts at Sandia National Laboratories (SNL) include specifications for a system-wide Power API that focuses on managing power in the entire HPC ecosystem, [14].…”

Section: Related W Orkmentioning

confidence: 99%

Analysis of Application Power and Schedule Composition in a High Performance Computing Environment

Elmore¹,

Gruchalla²,

Phillips³

et al. 2016

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Empirical Mode Decomposition for Modeling of Parallel Applications on Intel Xeon Phi Processors

Lawson

Sosonkina

Ezer

et al. 2017

2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)

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High Performance Computing - Power Application Programming Interface Specification Version 1.4

Cited by 9 publications

References 17 publications

A Power Management Framework with Simple DSL for Automatic Power-Performance Optimization on Power-Constrained HPC Systems

A Power Management Framework with Simple DSL for Automatic Power-Performance Optimization on Power-Constrained HPC Systems

Analysis of Application Power and Schedule Composition in a High Performance Computing Environment

Empirical Mode Decomposition for Modeling of Parallel Applications on Intel Xeon Phi Processors

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