Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Solving the Multi-Period Water Distribution Network Design Problem with a Hybrid Simulated Anealling Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Checkpoint and Restart: An Energy Consumption Characterization in Clusters

Authors : Marina Morán, Javier Balladini, Dolores Rexachs, Emilio Luque

Published in: Computer Science – CACIC 2018

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The fault tolerance method currently used in High Performance Computing (HPC) is the rollback-recovery method by using checkpoints. This, like any other fault tolerance method, adds an additional energy consumption to that of the execution of the application. The objective of this work is to determine the factors that affect the energy consumption of the computing nodes on homogeneous cluster, when performing checkpoint and restart operations, on SPMD (Single Program Multiple Data) applications. We have focused on the energetic study of compute nodes, contemplating different configurations of hardware and software parameters. We studied the effect of performance states (states P) and power states (states C) of processors, application problem size, checkpoint software (DMTCP) and distributed file system (NFS) configuration. The results analysis allowed to identify opportunities to reduce the energy consumption of checkpoint and restart operations.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Solving the Multi-Period Water Distribution Network Design Problem with a Hybrid Simulated Anealling
next chapter Energy Consumption Analysis and Time Estimation Model in GPU Cluster and MultiGPU in a High Computational Demand Problem
Footnotes
Literature
1.
Amrizal, M.A., Takizawa, H.: Optimizing energy consumption on HPC systems with a multi-level checkpointing mechanism. In: International Conference on Networking, Architecture, and Storage (NAS). IEEE (2017)
2.
Mills, B., Grant, R.E., Ferreira, K.B.: Evaluating energy savings for checkpoint/restart. In: Proceedings of the 1st International Workshop on Energy Efficient Supercomputing. ACM (2013)
3.
Mills, B., Znati, T., Melhem, R., Ferreira, K.B., Grant, R.E.: Energy consumption of resilience mechanisms in large scale systems. In: 122nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing. IEEE (2014)
4.
Meneses, E., Sarood, O., Kalé, L.V.: Assessing energy efficiency of fault tolerance protocols for HPC systems. In: 2012 IEEE 24th International Symposium on Computer Architecture and High Performance Computing, pp. 35–42. IEEE (2012)
5.
Diouri, M., Glück, O., Lefevre, L., Cappello, F.: Energy considerations in checkpointing and fault tolerance protocols. In IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN 2012), June, pp. 1–6. IEEE (2012)
6.
Bergman, K., et al.: Exascale computing study: technology challenges in achieving exascale systems. Defense Advanced Research Projects Agency Information Processing Techniques Office (DARPA IPTO), Technical report, 15 (2008)
7.
Dauwe, D., Jhaveri, R., Pasricha, S., Maciejewski, A.A., Siegel, H.J.: Optimizing checkpoint intervals for reduced energy use in exascale systems. In: 2017 Eighth International Green and Sustainable Computing Conference (IGSC), October, pp. 1–8. IEEE (2017)
8.
Chandrasekar, R.R., Venkatesh, A., Hamidouche, K., Panda, D.K.: Power-check: an energy-efficient checkpointing framework for HPC clusters. In: 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May, pp. 261–270. IEEE (2015)
9.
Cui, X., Znati, T., Melhem, R.: Adaptive and power-aware resilience for extreme-scale computing. In: International IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), July, pp. 671–679. IEEE (2016)
10.
Saito, T., Sato, K., Sato, H., Matsuoka, S.: Energy-aware I/O optimization for checkpoint and restart on a NAND flash memory system. In: Proceedings of the 3rd Workshop on Fault-Tolerance for HPC at extreme scale, June, pp. 41–48. ACM (2013)
11.
Ferreira, K.B., Ibtesham, D., DeBonis, D., Arnold, D.: Coarse-grained energy modeling of rollback/recovery mechanisms (No. SAND2014-2159C). Sandia National Lab. (SNL-NM), Albuquerque, NM (United States) (2014)
12.
Silveira, D.S., Moro, G.B., Cruz, E.H.M., Navaux, P.O.A., Schnorr, L.M., Bampi, S.: Energy consumption estimation in parallel applications: an analysis in real and theoretical models. In: XVII Simposio em Sistemas Computacionais de Alto Desempenho, pp. 134–145 (2016)
13.
Le Sueur, E., Heiser, G.: Dynamic voltage and frequency scaling: the laws of diminishing returns. In: Proceedings of the 2010 International Conference on Power Aware Computing and Systems, October, pp. 1–8 (2010)
14.
Ansel, J., Arya, K., Cooperman, G.: DMTCP: transparent checkpointing for cluster computations and the desktop. In: 2009 IEEE International Symposium on Parallel & Distributed Processing, May, pp. 1–12. IEEE (2009)
15.
Morán, M., Balladini, J., Rexachs, D., Luque E.: Factores que afectan el consumo energético de operaciones de checkpoint y restart en clusters. In: XIX Workshop Procesamiento Distribuido y Paralelo (WPDP), XXIV Congreso Argentino de Ciencias de la Computación, CACIC 2018, pp. 63–72 (2018). ISBN 978-950-658-472-6
16.
Diouri, M., Glück, O., Lefevre, L., Cappello, F.: ECOFIT: a framework to estimate energy consumption of fault tolerance protocols for HPC applications. In: 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, May, pp. 522–529. IEEE (2013)
17.
Metadata
Title
Checkpoint and Restart: An Energy Consumption Characterization in Clusters
Authors
Marina Morán
Javier Balladini
Dolores Rexachs
Emilio Luque
Copyright Year
2019
Book
Computer Science – CACIC 2018

Print ISBN: 978-3-030-20786-1

Electronic ISBN: 978-3-030-20787-8

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-20787-8_2

Premium Partner

    Image Credits