research-article

MapPro: Proactive Runtime Mapping for Dynamic Workloads by Quantifying Ripple Effect of Applications on Networks-on-Chip

Authors:

Mohammad-Hashem Haghbayan,

Amir-Mohammad Rahmani,

Pasi Liljeberg,

Hannu TenhunenAuthors Info & Claims

NOCS '15: Proceedings of the 9th International Symposium on Networks-on-Chip

Article No.: 26, Pages 1 - 8

https://doi.org/10.1145/2786572.2786589

Published: 28 September 2015 Publication History

Abstract

Increasing dynamic workloads running on NoC-based many-core systems necessitates efficient runtime mapping strategies. With an unpredictable nature of application profiles, selecting a rational region to map an incoming application is an NP-hard problem in view of minimizing congestion and maximizing performance. In this paper, we propose a proactive region selection strategy which prioritizes nodes that offer lower congestion and dispersion. Our proposed strategy, MapPro, quantitatively represents the propagated impact of spatial availability and dispersion on the network with every new mapped application. This allows us to identify a suitable region to accommodate an incoming application that results in minimal congestion and dispersion. We cluster the network into squares of different radii to suit applications of different sizes and proactively select a suitable square for a new application, eliminating the overhead caused with typical reactive mapping approaches. We evaluated our proposed strategy over different traffic patterns and observed gains of up to 41% in energy efficiency, 28% in congestion and 21% dispersion when compared to the state-of-the-art region selection methods.

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Cited By

Reza M(2024)High-performance application mapping in network-on-chip-based multicore systemsThe Journal of Supercomputing10.1007/s11227-024-06184-980:13(18573-18599)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1007/s11227-024-06184-9
Haghbayan HMiele AMutlu OPlosila J(2023)Run-Time Resource Management in CMPs Handling Multiple Aging MechanismsIEEE Transactions on Computers10.1109/TC.2023.327280072:10(2872-2887)Online publication date: Oct-2023
https://doi.org/10.1109/TC.2023.3272800
Saleem SHussain FAmin WAhmed RZikria YIshmanov FYu H(2023)A Survey on Dynamic Application Mapping Approaches for Real-Time Network-on-Chip-Based PlatformsIEEE Access10.1109/ACCESS.2023.332923311(122694-122721)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3329233
Show More Cited By

Index Terms

MapPro: Proactive Runtime Mapping for Dynamic Workloads by Quantifying Ripple Effect of Applications on Networks-on-Chip
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Embedded systems
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Embedded software
      2. Real-time systems software

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Published In

cover image ACM Conferences

NOCS '15: Proceedings of the 9th International Symposium on Networks-on-Chip

September 2015

233 pages

ISBN:9781450333962

DOI:10.1145/2786572

General Chairs:
Andre Ivanov
University of British Columbia, Canada
,
Diana Marculescu
Carnegie Mellon University, USA
,
Program Chairs:
Partha Pratim Pande
Washington State University, USA
,
José Flich
Universitat Politècnica de València, Spain
,
Publications Chair:
Karthik Pattabiraman
University of British Columbia, Canada

Copyright © 2015 ACM.

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Publication History

Published: 28 September 2015

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NOCS '15

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NOCS '15: International Symposium on Networks-on-Chip

September 28 - 30, 2015

BC, Vancouver, Canada

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Overall Acceptance Rate 14 of 44 submissions, 32%

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Cited By

Reza M(2024)High-performance application mapping in network-on-chip-based multicore systemsThe Journal of Supercomputing10.1007/s11227-024-06184-980:13(18573-18599)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1007/s11227-024-06184-9
Haghbayan HMiele AMutlu OPlosila J(2023)Run-Time Resource Management in CMPs Handling Multiple Aging MechanismsIEEE Transactions on Computers10.1109/TC.2023.327280072:10(2872-2887)Online publication date: Oct-2023
https://doi.org/10.1109/TC.2023.3272800
Saleem SHussain FAmin WAhmed RZikria YIshmanov FYu H(2023)A Survey on Dynamic Application Mapping Approaches for Real-Time Network-on-Chip-Based PlatformsIEEE Access10.1109/ACCESS.2023.332923311(122694-122721)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3329233
Haghbayan MMiele AZou ZTenhunen HPlosila JDi Natale GFummi F(2020)Thermal-cycling-aware dynamic reliability management in many-core system-on-chipProceedings of the 23rd Conference on Design, Automation and Test in Europe10.5555/3408352.3408632(1229-1234)Online publication date: 9-Mar-2020
https://dl.acm.org/doi/10.5555/3408352.3408632
Haghbayan MMiele AZou ZTenhunen HPlosila J(2020)Thermal-Cycling-aware Dynamic Reliability Management in Many-Core System-on-Chip2020 Design, Automation & Test in Europe Conference & Exhibition (DATE)10.23919/DATE48585.2020.9116325(1229-1234)Online publication date: Mar-2020
https://doi.org/10.23919/DATE48585.2020.9116325
Amin WHussain FAnjum SKhan SBaloch NNain ZKim S(2020)Performance Evaluation of Application Mapping Approaches for Network-on-Chip DesignsIEEE Access10.1109/ACCESS.2020.29826758(63607-63631)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2982675
Sadeghi MSarmadi SHessabi S(2019)Toward On-chip Network Security Using Runtime Isolation MappingACM Transactions on Architecture and Code Optimization10.1145/333777016:3(1-25)Online publication date: 20-Jul-2019
https://dl.acm.org/doi/10.1145/3337770
Wang LLv PLiu LHan JLeung HWang XYin SWei SMak T(2019)A Lifetime Reliability-Constrained Runtime Mapping for Throughput Optimization in Many-Core SystemsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2018.285516838:9(1771-1784)Online publication date: Sep-2019
https://doi.org/10.1109/TCAD.2018.2855168
Wang XSingh AWen SLu ZVangal SXu JBogdan P(2018)Exploiting dark cores for performance optimization via patterning for many-core chips in the dark silicon eraProceedings of the Twelfth IEEE/ACM International Symposium on Networks-on-Chip10.5555/3306619.3306636(1-8)Online publication date: 4-Oct-2018
https://dl.acm.org/doi/10.5555/3306619.3306636
Wang XSingh ALi BYang YLi HMak T(2018)Bubble Budgeting: Throughput Optimization for Dynamic Workloads by Exploiting Dark Cores in Many Core SystemsIEEE Transactions on Computers10.1109/TC.2017.273596767:2(178-192)Online publication date: 1-Feb-2018
https://doi.org/10.1109/TC.2017.2735967
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