Amdahl's law for lifetime reliability scaling in heterogeneous multicore processors

William Jinho Song, Saibal Mukhopadhyay, Sudhakar Yalamanchili

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Heterogeneous multicore processors have been suggested as alternative microarchitectural designs to enhance performance and energy efficiency. Using Amdahl's Law, heterogeneous models were primarily analyzed in performance and energy efficiency aspects to demonstrate its advantage over conventional homogeneous systems. In this paper, we further extend the study to understand the lifetime reliability consequences of heterogeneous multicore processors, as reliability becomes an increasingly important constraint. We present the lifetime reliability models of multicore processors based on Amdahl's Law, including compact thermal estimation that has strong correlation with device aging. Lifetime reliability is analyzed by varying i) core utilization (Amdahl's scaling factor), ii) processor composition (number of big and small cores), and iii) thread scheduling method. The study shows that the heterogeneous processor may have a serious reliability challenge. If the processor is comprised of only one big core and many small cores, stresses can be biased to the big core especially when workloads spend more time on sequential operations. Our study reveals that incorporating multiple big cores can mitigate reliability bottleneck in big cores and enhance processor lifetime, but adding too many big cores will have an adverse impact on lifetime reliability as well as performance.

Original languageEnglish
Title of host publicationProceedings of the 2016 IEEE International Symposium on High-Performance Computer Architecture, HPCA 2016
PublisherIEEE Computer Society
Pages594-605
Number of pages12
ISBN (Electronic)9781467392112
DOIs
Publication statusPublished - 2016 Apr 1
Event22nd IEEE International Symposium on High Performance Computer Architecture, HPCA 2016 - Barcelona, Spain
Duration: 2016 Mar 122016 Mar 16

Publication series

NameProceedings - International Symposium on High-Performance Computer Architecture
Volume2016-April
ISSN (Print)1530-0897

Other

Other22nd IEEE International Symposium on High Performance Computer Architecture, HPCA 2016
CountrySpain
CityBarcelona
Period16/3/1216/3/16

Fingerprint

Energy efficiency
Aging of materials
Scheduling
Chemical analysis
Hot Temperature

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture

Cite this

Song, W. J., Mukhopadhyay, S., & Yalamanchili, S. (2016). Amdahl's law for lifetime reliability scaling in heterogeneous multicore processors. In Proceedings of the 2016 IEEE International Symposium on High-Performance Computer Architecture, HPCA 2016 (pp. 594-605). [7446097] (Proceedings - International Symposium on High-Performance Computer Architecture; Vol. 2016-April). IEEE Computer Society. https://doi.org/10.1109/HPCA.2016.7446097
Song, William Jinho ; Mukhopadhyay, Saibal ; Yalamanchili, Sudhakar. / Amdahl's law for lifetime reliability scaling in heterogeneous multicore processors. Proceedings of the 2016 IEEE International Symposium on High-Performance Computer Architecture, HPCA 2016. IEEE Computer Society, 2016. pp. 594-605 (Proceedings - International Symposium on High-Performance Computer Architecture).
@inproceedings{a776cf2080d545fabb2b068b7ebc71f5,
title = "Amdahl's law for lifetime reliability scaling in heterogeneous multicore processors",
abstract = "Heterogeneous multicore processors have been suggested as alternative microarchitectural designs to enhance performance and energy efficiency. Using Amdahl's Law, heterogeneous models were primarily analyzed in performance and energy efficiency aspects to demonstrate its advantage over conventional homogeneous systems. In this paper, we further extend the study to understand the lifetime reliability consequences of heterogeneous multicore processors, as reliability becomes an increasingly important constraint. We present the lifetime reliability models of multicore processors based on Amdahl's Law, including compact thermal estimation that has strong correlation with device aging. Lifetime reliability is analyzed by varying i) core utilization (Amdahl's scaling factor), ii) processor composition (number of big and small cores), and iii) thread scheduling method. The study shows that the heterogeneous processor may have a serious reliability challenge. If the processor is comprised of only one big core and many small cores, stresses can be biased to the big core especially when workloads spend more time on sequential operations. Our study reveals that incorporating multiple big cores can mitigate reliability bottleneck in big cores and enhance processor lifetime, but adding too many big cores will have an adverse impact on lifetime reliability as well as performance.",
author = "Song, {William Jinho} and Saibal Mukhopadhyay and Sudhakar Yalamanchili",
year = "2016",
month = "4",
day = "1",
doi = "10.1109/HPCA.2016.7446097",
language = "English",
series = "Proceedings - International Symposium on High-Performance Computer Architecture",
publisher = "IEEE Computer Society",
pages = "594--605",
booktitle = "Proceedings of the 2016 IEEE International Symposium on High-Performance Computer Architecture, HPCA 2016",
address = "United States",

}

Song, WJ, Mukhopadhyay, S & Yalamanchili, S 2016, Amdahl's law for lifetime reliability scaling in heterogeneous multicore processors. in Proceedings of the 2016 IEEE International Symposium on High-Performance Computer Architecture, HPCA 2016., 7446097, Proceedings - International Symposium on High-Performance Computer Architecture, vol. 2016-April, IEEE Computer Society, pp. 594-605, 22nd IEEE International Symposium on High Performance Computer Architecture, HPCA 2016, Barcelona, Spain, 16/3/12. https://doi.org/10.1109/HPCA.2016.7446097

Amdahl's law for lifetime reliability scaling in heterogeneous multicore processors. / Song, William Jinho; Mukhopadhyay, Saibal; Yalamanchili, Sudhakar.

Proceedings of the 2016 IEEE International Symposium on High-Performance Computer Architecture, HPCA 2016. IEEE Computer Society, 2016. p. 594-605 7446097 (Proceedings - International Symposium on High-Performance Computer Architecture; Vol. 2016-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Amdahl's law for lifetime reliability scaling in heterogeneous multicore processors

AU - Song, William Jinho

AU - Mukhopadhyay, Saibal

AU - Yalamanchili, Sudhakar

PY - 2016/4/1

Y1 - 2016/4/1

N2 - Heterogeneous multicore processors have been suggested as alternative microarchitectural designs to enhance performance and energy efficiency. Using Amdahl's Law, heterogeneous models were primarily analyzed in performance and energy efficiency aspects to demonstrate its advantage over conventional homogeneous systems. In this paper, we further extend the study to understand the lifetime reliability consequences of heterogeneous multicore processors, as reliability becomes an increasingly important constraint. We present the lifetime reliability models of multicore processors based on Amdahl's Law, including compact thermal estimation that has strong correlation with device aging. Lifetime reliability is analyzed by varying i) core utilization (Amdahl's scaling factor), ii) processor composition (number of big and small cores), and iii) thread scheduling method. The study shows that the heterogeneous processor may have a serious reliability challenge. If the processor is comprised of only one big core and many small cores, stresses can be biased to the big core especially when workloads spend more time on sequential operations. Our study reveals that incorporating multiple big cores can mitigate reliability bottleneck in big cores and enhance processor lifetime, but adding too many big cores will have an adverse impact on lifetime reliability as well as performance.

AB - Heterogeneous multicore processors have been suggested as alternative microarchitectural designs to enhance performance and energy efficiency. Using Amdahl's Law, heterogeneous models were primarily analyzed in performance and energy efficiency aspects to demonstrate its advantage over conventional homogeneous systems. In this paper, we further extend the study to understand the lifetime reliability consequences of heterogeneous multicore processors, as reliability becomes an increasingly important constraint. We present the lifetime reliability models of multicore processors based on Amdahl's Law, including compact thermal estimation that has strong correlation with device aging. Lifetime reliability is analyzed by varying i) core utilization (Amdahl's scaling factor), ii) processor composition (number of big and small cores), and iii) thread scheduling method. The study shows that the heterogeneous processor may have a serious reliability challenge. If the processor is comprised of only one big core and many small cores, stresses can be biased to the big core especially when workloads spend more time on sequential operations. Our study reveals that incorporating multiple big cores can mitigate reliability bottleneck in big cores and enhance processor lifetime, but adding too many big cores will have an adverse impact on lifetime reliability as well as performance.

UR - http://www.scopus.com/inward/record.url?scp=84965059979&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84965059979&partnerID=8YFLogxK

U2 - 10.1109/HPCA.2016.7446097

DO - 10.1109/HPCA.2016.7446097

M3 - Conference contribution

T3 - Proceedings - International Symposium on High-Performance Computer Architecture

SP - 594

EP - 605

BT - Proceedings of the 2016 IEEE International Symposium on High-Performance Computer Architecture, HPCA 2016

PB - IEEE Computer Society

ER -

Song WJ, Mukhopadhyay S, Yalamanchili S. Amdahl's law for lifetime reliability scaling in heterogeneous multicore processors. In Proceedings of the 2016 IEEE International Symposium on High-Performance Computer Architecture, HPCA 2016. IEEE Computer Society. 2016. p. 594-605. 7446097. (Proceedings - International Symposium on High-Performance Computer Architecture). https://doi.org/10.1109/HPCA.2016.7446097