poster

Application heartbeats for software performance and health

Authors:

Henry Hoffmann,

Jonathan Eastep,

Marco D. Santambrogio,

Jason E. Miller,

Anant AgarwalAuthors Info & Claims

PPoPP '10: Proceedings of the 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

Pages 347 - 348

https://doi.org/10.1145/1693453.1693507

Published: 09 January 2010 Publication History

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Abstract

Adaptive, or self-aware, computing has been proposed to help application programmers confront the growing complexity of multicore software development. However, existing approaches to adaptive systems are largely ad hoc and often do not manage to incorporate the true performance goals of the applications they are designed to support. This paper presents an enabling technology for adaptive computing systems: Application Heartbeats. The Application Heartbeats framework provides a simple, standard programming interface that applications can use to indicate their performance and system software (and hardware) can use to query an application's performance. The PARSEC benchmark suite is instrumented with Application Heartbeats to show the broad applicability of the interface and an external resource scheduler demonstrates the use of the interface by assigning cores to an application to maintain a designated performance goal.

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H. Hoffmann, J. Eastep, M. Santambrogio, J. Miller, and A. Agarwal. Application heartbeats for software performance and health. Technical Report MIT-CSAIL-TR-2009-035, MIT, Aug 2009.

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Cited By

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Wang WLi DLuo WKang YWang L(2023)Anthropomorphic diagnosis of runtime hidden behaviors in OpenMP multi-threaded applicationsJournal of Parallel and Distributed Computing10.1016/j.jpdc.2023.02.012177:C(17-27)Online publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1016/j.jpdc.2023.02.012
Haririan P(2020)DVFS and Its Architectural Simulation Models for Improving Energy Efficiency of Complex Embedded Systems in Early Design PhaseComputers10.3390/computers90100029:1(2)Online publication date: 7-Jan-2020
https://doi.org/10.3390/computers9010002
Brondolin RArnaboldi MSantambrogio M(2020)Power consumption management under a low-level performance constraint in the Xen hypervisorACM SIGBED Review10.1145/3412821.341282817:1(42-48)Online publication date: 27-Jul-2020
https://dl.acm.org/doi/10.1145/3412821.3412828
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Index Terms

Application heartbeats for software performance and health
1. General and reference
  1. Cross-computing tools and techniques
    1. Measurement
    2. Metrics

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Information

Published In

PPoPP '10: Proceedings of the 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

January 2010

372 pages

ISBN:9781605588773

DOI:10.1145/1693453

General Chairs:
R. Govindarajan
Indian Institute of Science
,
David Padua
UIUC
,
Program Chair:
Mary Hall
University of Utah

ACM SIGPLAN Notices Volume 45, Issue 5
PPoPP '10
May 2010
346 pages
ISSN:0362-1340
EISSN:1558-1160
DOI:10.1145/1837853
Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 January 2010

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adaptive algorithms

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PPoPP '10

Sponsor:

SIGPLAN

PPoPP '10: ACM SIGPLAN Principles and Practice of Parallel Computing

January 9 - 14, 2010

Bangalore, India

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Overall Acceptance Rate 230 of 1,014 submissions, 23%

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Cited By

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Wang WLi DLuo WKang YWang L(2023)Anthropomorphic diagnosis of runtime hidden behaviors in OpenMP multi-threaded applicationsJournal of Parallel and Distributed Computing10.1016/j.jpdc.2023.02.012177:C(17-27)Online publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1016/j.jpdc.2023.02.012
Haririan P(2020)DVFS and Its Architectural Simulation Models for Improving Energy Efficiency of Complex Embedded Systems in Early Design PhaseComputers10.3390/computers90100029:1(2)Online publication date: 7-Jan-2020
https://doi.org/10.3390/computers9010002
Brondolin RArnaboldi MSantambrogio M(2020)Power consumption management under a low-level performance constraint in the Xen hypervisorACM SIGBED Review10.1145/3412821.341282817:1(42-48)Online publication date: 27-Jul-2020
https://dl.acm.org/doi/10.1145/3412821.3412828
Arnaboldi MFerroni MSantambrogio M(2018)Towards a performance-aware power capping orchestrator for the Xen hypervisorACM SIGBED Review10.1145/3199610.319961115:1(8-14)Online publication date: 20-Mar-2018
https://dl.acm.org/doi/10.1145/3199610.3199611
Lewis PBellman KLandauer CEsterle LGlette KDiaconescu AGiese H(2017)Towards a Framework for the Levels and Aspects of Self-aware Computing SystemsSelf-Aware Computing Systems10.1007/978-3-319-47474-8_3(51-85)Online publication date: 24-Jan-2017
https://doi.org/10.1007/978-3-319-47474-8_3
Kounev SLewis PBellman KBencomo NCamara JDiaconescu AEsterle LGeihs KGiese HGötz SInverardi PKephart JZisman A(2017)The Notion of Self-aware ComputingSelf-Aware Computing Systems10.1007/978-3-319-47474-8_1(3-16)Online publication date: 24-Jan-2017
https://doi.org/10.1007/978-3-319-47474-8_1
Laurenzano MHill PSamadi MMahlke SMars JTang L(2016)Input responsiveness: using canary inputs to dynamically steer approximationACM SIGPLAN Notices10.1145/2980983.290808751:6(161-176)Online publication date: 2-Jun-2016
https://dl.acm.org/doi/10.1145/2980983.2908087
Laurenzano MHill PSamadi MMahlke SMars JTang LKrintz CBerger E(2016)Input responsiveness: using canary inputs to dynamically steer approximationProceedings of the 37th ACM SIGPLAN Conference on Programming Language Design and Implementation10.1145/2908080.2908087(161-176)Online publication date: 2-Jun-2016
https://dl.acm.org/doi/10.1145/2908080.2908087
Gaspar FTaniça LTomás PIlic ASousa L(2015)A Framework for Application-Guided Task Management on Heterogeneous Embedded SystemsACM Transactions on Architecture and Code Optimization10.1145/283517712:4(1-25)Online publication date: 8-Dec-2015
https://dl.acm.org/doi/10.1145/2835177
Navas BSander IOberg J(2015)Towards cognitive reconfigurable hardware: Self-aware learning in RTR fault-tolerant SoCs2015 10th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC)10.1109/ReCoSoC.2015.7238103(1-8)Online publication date: Jun-2015
https://doi.org/10.1109/ReCoSoC.2015.7238103
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Application heartbeats for software performance and health

Application heartbeats: a generic interface for specifying program performance and goals in autonomous computing environments

Analysis of application heartbeats: learning structural and temporal features in time series data for identification of performance problems