Article

System noise, OS clock ticks, and fine-grained parallel applications

Authors:

Dror G. Feitelson,

Scott KirkpatrickAuthors Info & Claims

ICS '05: Proceedings of the 19th annual international conference on Supercomputing

Pages 303 - 312

https://doi.org/10.1145/1088149.1088190

Published: 20 June 2005 Publication History

Abstract

As parallel jobs get bigger in size and finer in granularity, "system noise" is increasingly becoming a problem. In fact, fine-grained jobs on clusters with thousands of SMP nodes run faster if a processor is intentionally left idle (per node), thus enabling a separation of "system noise" from the computation. Paying a cost in average processing speed at a node for the sake of eliminating occasional processes delays is (unfortunately) beneficial, as such delays are enormously magnified when one late process holds up thousands of peers with which it synchronizes.We provide a probabilistic argument showing that, under certain conditions, the effect of such noise is linearly proportional to the size of the cluster (as is often empirically observed). We then identify a major source of noise to be indirect overhead of periodic OS clock interrupts ("ticks"), that are used by all general-purpose OSs as a means of maintaining control. This is shown for various grain sizes, platforms, tick frequencies, and OSs. To eliminate such noise, we suggest replacing ticks with an alternative mechanism we call "smart timers". This turns out to also be in line with needs of desktop and mobile computing, increasing the chances of the suggested change to be accepted.

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Cited By

Tageldin MHayat MDominguez-Trujillo JBridges P(2024)A Stochastic Composite Model to Understand the Impact of Rare, Colossal Interference in HPC Systems2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)10.1109/IPDPSW63119.2024.00189(1153-1155)Online publication date: 27-May-2024
https://doi.org/10.1109/IPDPSW63119.2024.00189
Shorts CGrant R(2024)Profiling LAMMPS for GPU Disaggregation2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)10.1109/CCECE59415.2024.10667118(78-79)Online publication date: 6-Aug-2024
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Cui MPapadopoulou NPericàs M(2023)Analysis and Characterization of Performance Variability for OpenMP RuntimeProceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis10.1145/3624062.3624239(1614-1622)Online publication date: 12-Nov-2023
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Index Terms

System noise, OS clock ticks, and fine-grained parallel applications

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Published In

cover image ACM Conferences

ICS '05: Proceedings of the 19th annual international conference on Supercomputing

June 2005

414 pages

ISBN:1595931678

DOI:10.1145/1088149

General Chair:
Arvind
MIT
,
Program Chair:
Larry Rudolph
MIT

Copyright © 2005 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]

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Published: 20 June 2005

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ICS05: International Conference on Supercomputing 2005

June 20 - 22, 2005

Massachusetts, Cambridge

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Overall Acceptance Rate 629 of 2,180 submissions, 29%

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Cited By

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https://doi.org/10.1109/IPDPSW63119.2024.00189
Shorts CGrant R(2024)Profiling LAMMPS for GPU Disaggregation2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)10.1109/CCECE59415.2024.10667118(78-79)Online publication date: 6-Aug-2024
https://doi.org/10.1109/CCECE59415.2024.10667118
Cui MPapadopoulou NPericàs M(2023)Analysis and Characterization of Performance Variability for OpenMP RuntimeProceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis10.1145/3624062.3624239(1614-1622)Online publication date: 12-Nov-2023
https://dl.acm.org/doi/10.1145/3624062.3624239
Afzal AHager GWellein G(2023)The Role of Idle Waves, Desynchronization, and Bottleneck Evasion in the Performance of Parallel ProgramsIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2022.322108534:2(623-638)Online publication date: 1-Feb-2023
https://doi.org/10.1109/TPDS.2022.3221085
de Oliveira DCasini DCucinotta T(2023)Operating System Noise in the Linux KernelIEEE Transactions on Computers10.1109/TC.2022.318735172:1(196-207)Online publication date: 1-Jan-2023
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Bruel PMittal VMilojicic DFaloutsos MFrachtenberg E(2023)Revisiting Performance Evaluation in the Age of Uncertainty2023 IEEE 30th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW)10.1109/HiPCW61695.2023.00012(23-30)Online publication date: 18-Dec-2023
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Zhai JJin YChen WZheng WZhai JJin YChen WZheng W(2023)Lightweight Noise DetectionPerformance Analysis of Parallel Applications for HPC10.1007/978-981-99-4366-1_7(165-197)Online publication date: 19-Jun-2023
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Khudoleeva AStefanov KVoevodin V(2023)Evaluating the Impact of MPI Network Sharing on HPC ApplicationsParallel Computational Technologies10.1007/978-3-031-38864-4_1(3-18)Online publication date: 25-Jul-2023
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Zhai JZheng LSun JZhang FTang XQian XHe BXue WChen WZheng W(2022)Leveraging Code Snippets to Detect Variations in the Performance of HPC SystemsIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2022.315874233:12(3558-3574)Online publication date: 1-Dec-2022
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