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Authors: Kazuki Tsuzuku and Toshio Endo

Affiliation: Tokyo Institute of Technology, Japan

ISBN: 978-989-758-105-2

Keyword(s): GPGPU, Power Capping, DVFS, Power Model, Performance Model.

Related Ontology Subjects/Areas/Topics: Energy and Economy ; Energy Monitoring ; Energy Profiling and Measurement ; Energy-Aware Systems and Technologies ; Optimization Techniques for Efficient Energy Consumption

Abstract: Recent high performance computing (HPC) systems and supercomputers are built under strict power budgets and the limitation will be even severer. Thus power control is becoming more important, especially on the systems with accelerators such as GPUs, whose power consumption changes largely according to the characteristics of application programs. In this paper, we propose an efficient power capping technique for compute nodes with accelerators that supports dynamic voltage frequency scaling (DVFS). We adopt a hybrid approach that consists of a static method and a dynamic method. By using a static method based on our power and performance model, we obtain optimal frequencies of GPUs and CPUs for the given application. Additionally, while the application is running, we adjust GPU frequency dynamically based on real-time power consumption. Through the performance evaluation on a compute node with a NVIDIA GPU, we demonstrate that our hybrid method successfully control the power c onsumption under a given power constraint better than simple methods, without aggravating energy-to-solution. (More)

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Paper citation in several formats:
Tsuzuku, K. and Endo, T. (2015). Power Capping of CPU-GPU Heterogeneous Systems using Power and Performance Models.In Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-105-2, pages 226-233. DOI: 10.5220/0005445102260233

@conference{smartgreens15,
author={Kazuki Tsuzuku. and Toshio Endo.},
title={Power Capping of CPU-GPU Heterogeneous Systems using Power and Performance Models},
booktitle={Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2015},
pages={226-233},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005445102260233},
isbn={978-989-758-105-2},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Power Capping of CPU-GPU Heterogeneous Systems using Power and Performance Models
SN - 978-989-758-105-2
AU - Tsuzuku, K.
AU - Endo, T.
PY - 2015
SP - 226
EP - 233
DO - 10.5220/0005445102260233

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