research-article

Approximation-aware coordinated power/performance management for heterogeneous multi-cores

Authors:

Amir M. Rahmani,

Pasi Liljeberg,

Cristiana Bolchini,

Nikil DuttAuthors Info & Claims

DAC '18: Proceedings of the 55th Annual Design Automation Conference

Article No.: 68, Pages 1 - 6

https://doi.org/10.1145/3195970.3195994

Published: 24 June 2018 Publication History

Abstract

Run-time resource management of heterogeneous multi-core systems is challenging due to i) dynamic workloads, that often result in ii) conflicting knob actuation decisions, which potentially iii) compromise on performance for thermal safety. We present a runtime resource management strategy for performance guarantees under power constraints using functionally approximate kernels that exploit accuracy-performance trade-offs within error resilient applications. Our controller integrates approximation with power knobs - DVFS, CPU quota, task migration - in coordinated manner to make performance-aware decisions on power management under variable workloads. Experimental results on Odroid XU3 show the effectiveness of this strategy in meeting performance requirements without power violations compared to existing solutions.

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Cited By

Vogel ADanelutto MTorquati MGriebler DFernandes L(2024)Enhancing self-adaptation for efficient decision-making at run-time in streaming applications on multicoresThe Journal of Supercomputing10.1007/s11227-024-06191-w80:15(22213-22244)Online publication date: 21-Jun-2024
https://doi.org/10.1007/s11227-024-06191-w
Qiu WChen YChen DSu TYang S(2022)Run-Time Hierarchical Management of Mapping, Per-Cluster DVFS and Per-Core DPM for Energy OptimizationElectronics10.3390/electronics1107109411:7(1094)Online publication date: 30-Mar-2022
https://doi.org/10.3390/electronics11071094
Isuwa SDey SOrtega ASingh AAl-Hashimi BMerrett G(2022)QUAREM: Maximising QoE Through Adaptive Resource Management in Mobile MPSoC PlatformsACM Transactions on Embedded Computing Systems10.1145/352611621:4(1-29)Online publication date: 5-Sep-2022
https://dl.acm.org/doi/10.1145/3526116
Show More Cited By

Index Terms

Approximation-aware coordinated power/performance management for heterogeneous multi-cores
1. Computer systems organization
  1. Architectures
    1. Parallel architectures
      1. Multicore architectures
2. Hardware
  1. Very large scale integration design
    1. On-chip resource management

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cover image ACM Conferences

DAC '18: Proceedings of the 55th Annual Design Automation Conference

June 2018

1089 pages

ISBN:9781450357005

DOI:10.1145/3195970

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

EDAC: Electronic Design Automation Consortium
SIGDA: ACM Special Interest Group on Design Automation
IEEE Council on Electronic Design Automation (CEDA)

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SIGBED: ACM Special Interest Group on Embedded Systems

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 June 2018

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European Union

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DAC '18

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EDAC
SIGDA

DAC '18: The 55th Annual Design Automation Conference 2018

June 24 - 29, 2018

California, San Francisco

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Overall Acceptance Rate 1,770 of 5,499 submissions, 32%

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DAC '25

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62nd ACM/IEEE Design Automation Conference

June 22 - 26, 2025

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Cited By

Vogel ADanelutto MTorquati MGriebler DFernandes L(2024)Enhancing self-adaptation for efficient decision-making at run-time in streaming applications on multicoresThe Journal of Supercomputing10.1007/s11227-024-06191-w80:15(22213-22244)Online publication date: 21-Jun-2024
https://doi.org/10.1007/s11227-024-06191-w
Qiu WChen YChen DSu TYang S(2022)Run-Time Hierarchical Management of Mapping, Per-Cluster DVFS and Per-Core DPM for Energy OptimizationElectronics10.3390/electronics1107109411:7(1094)Online publication date: 30-Mar-2022
https://doi.org/10.3390/electronics11071094
Isuwa SDey SOrtega ASingh AAl-Hashimi BMerrett G(2022)QUAREM: Maximising QoE Through Adaptive Resource Management in Mobile MPSoC PlatformsACM Transactions on Embedded Computing Systems10.1145/352611621:4(1-29)Online publication date: 5-Sep-2022
https://dl.acm.org/doi/10.1145/3526116
Miele AZárate HCassano LBolchini COrtiz J(2022)A Runtime Resource Management and Provisioning Middleware for Fog Computing InfrastructuresACM Transactions on Internet of Things10.1145/35067183:3(1-29)Online publication date: 11-Apr-2022
https://dl.acm.org/doi/10.1145/3506718
Gomez-Rodriguez JSandoval-Arechiga RIbarra-Delgado SRodriguez-Abdala VVazquez-Avila JParra-Michel R(2021)A Survey of Software-Defined Networks-on-Chip: Motivations, Challenges and OpportunitiesMicromachines10.3390/mi1202018312:2(183)Online publication date: 12-Feb-2021
https://doi.org/10.3390/mi12020183
Shamsa EPröbstl ATaheriNejad NKanduri AChakraborty SRahmani ALiljeberg P(2021)UBARACM Transactions on Embedded Computing Systems10.1145/344164420:3(1-25)Online publication date: 27-Mar-2021
https://dl.acm.org/doi/10.1145/3441644
Shamsa EKanduri ARahmani ALiljeberg P(2021)Energy-Performance Co-Management of Mixed-Sensitivity Workloads on Heterogeneous Multi-core SystemsProceedings of the 26th Asia and South Pacific Design Automation Conference10.1145/3394885.3431516(421-427)Online publication date: 18-Jan-2021
https://dl.acm.org/doi/10.1145/3394885.3431516

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