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Erschienen in:
Algebraic Multigrid on a Dragonfly Network: First Experiences on a Cray XC30 Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

Assessing General-Purpose Algorithms to Cope with Fail-Stop and Silent Errors

verfasst von : Anne Benoit, Aurélien Cavelan, Yves Robert, Hongyang Sun

Erschienen in: High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation

Verlag: Springer International Publishing

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Abstract

In this paper, we combine the traditional checkpointing and rollback recovery strategies with verification mechanisms to address both fail-stop and silent errors. The objective is to minimize either makespan or energy consumption. While DVFS is a popular approach for reducing the energy consumption, using lower speeds/voltages can increase the number of errors, thereby complicating the problem. We consider an application workflow whose dependence graph is a chain of tasks, and we study three execution scenarios: (i) a single speed is used during the whole execution; (ii) a second, possibly higher speed is used for any potential re-execution; (iii) different pairs of speeds can be used throughout the execution. For each scenario, we determine the optimal checkpointing and verification locations (and the optimal speeds for the third scenario) to minimize either objective. The different execution scenarios are then assessed and compared through an extensive set of experiments.

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Vorheriges Kapitel On the Performance Prediction of BLAS-based Tensor Contractions
Nächstes Kapitel A Case for Epidemic Fault Detection and Group Membership in HPC Storage Systems
Literatur
1.
Assayad, I., Girault, A., Kalla, H.: Tradeoff exploration between reliability, power consumption, and execution time for embedded systems. Int. J. Softw. Tools Technol. Transf. 15(3), 229–245 (2013)CrossRef
2.
Aupy, G., Benoit, A., Robert, Y.: Energy-aware scheduling under reliability and makespan constraints. In: Proceedings of the International Conference on High Performance Computing (HiPC), pp. 1–10 (2012)
3.
Bansal, N., Kimbrel, T., Pruhs, K.: Speed scaling to manage energy and temperature. J. ACM 54(1), 3:1–3:39 (2007)CrossRefMathSciNet
4.
Benoit, A., Cavelan, A., Robert, Y., Sun, H.: Assessing general-purpose algorithms to cope with fail-stop and silent errors. Research report RR-8599, INRIA, September 2014
5.
Benson, A.R., Schmit, S., Schreiber, R.: Silent error detection in numerical time-stepping schemes. CoRR, abs/1312.2674 (2013)
6.
Bosilca, G., Delmas, R., Dongarra, J., Langou, J.: Algorithm-based fault tolerance applied to high performance computing. J. Parallel Distrib. Comput. 69(4), 410–416 (2009)CrossRef
7.
Bougeret, M., Casanova, H., Rabie, M., Robert, Y., Vivien, F.: Checkpointing strategies for parallel jobs. In: 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC), pp. 1–11 (2011)
8.
Bronevetsky, G., de Supinski, B.: Soft error vulnerability of iterative linear algebra methods. In: Proceedings 22nd International Conference on Supercomputing, ICS 2008, pp. 155–164. ACM (2008)
9.
Chandy, K.M., Lamport, L.: Distributed snapshots: determining global states of distributed systems. ACM Trans. Comput. Syst. 3(1), 63–75 (1985)CrossRef
10.
Chen, Z., Online-ABFT: an online algorithm based fault tolerance scheme for soft error detection in iterative methods. In: Proceedings of the 18th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2013, pp. 167–176. ACM (2013)
11.
Daly, J.T.: A higher order estimate of the optimum checkpoint interval for restart dumps. FGCS 22(3), 303–312 (2004)CrossRef
12.
Das, A., Kumar, A., Veeravalli, B., Bolchini, C., Miele, A.: Combined DVFS and mapping exploration for lifetime and soft-error susceptibility improvement in MPSoCs. In: Proceedings of the Conference on Design, Automation and Test in Europe (DATE), pp. 1–6 (2014)
13.
Dixit, A., Wood, A.: The impact of new technology on soft error rates. In: IEEE International on Reliability Physics Symposium (IRPS), pp. 5B.4.1–5B.4.7 (2011)
14.
El-Sayed, N., Stefanovici, I.A., Amvrosiadis, G., Hwang, A.A., Schroeder, B.: Temperature management in data centers: why some (might) like it hot. SIGMETRICS Perform. Eval. Rev. 40(1), 163–174 (2012)CrossRef
15.
Elliott, J., Kharbas, K., Fiala, D., Mueller, F., Ferreira, K., Engelmann, C.: Combining partial redundancy and checkpointing for HPC. In: Proceedings of the ICDCS 2012. IEEE Computer Society (2012)
16.
Elnozahy, E.N.M., Alvisi, L., Wang, Y.-M., Johnson, D.B.: A survey of rollback-recovery protocols in message-passing systems. ACM Comput. Surv. 34, 375–408 (2002)CrossRef
17.
Feng, W.-C.: Making a case for efficient supercomputing. Queue 1(7), 54–64 (2003)CrossRef
18.
Fiala, D., Mueller, F., Engelmann, C., Riesen, R., Ferreira, K., Brightwell, R.: Detection and correction of silent data corruption for large-scale high-performance computing. In: Proceedings of the ACM/IEEE SC International Conference SC 2012. IEEE Computer Society Press (2012)
19.
Heroux, M., Hoemmen, M.: Fault-tolerant iterative methods via selective reliability. Research report SAND2011-3915 C, Sandia National Laboratories (2011)
20.
Hsu, C.-H., Chun Feng, W.: A power-aware run-time system for high-performance computing. In: Proceedings of the ACM/IEEE Supercomputing Conference, pp. 1–9 (2005)
21.
Huang, K.-H., Abraham, J.A.: Algorithm-based fault tolerance for matrix operations. IEEE Trans. Comput. 33(6), 518–528 (1984)CrossRefMATH
22.
Hwang, A.A., Stefanovici, I.A., Schroeder, B.: Cosmic rays don’t strike twice: understanding the nature of dram errors and the implications for system design. SIGARCH Comput. Archit. News 40(1), 111–122 (2012)CrossRef
23.
24.
Lyons, R.E., Vanderkulk, W.: The use of triple-modular redundancy to improve computer reliability. IBM J. Res. Dev. 6(2), 200–209 (1962)CrossRefMATH
25.
Ozaki, T., Dohi, T., Okamura, H., Kaio, N.: Distribution-free checkpoint placement algorithms based on min-max principle. IEEE TDSC 3, 130–140 (2006)
26.
Patterson, M.: The effect of data center temperature on energy efficiency. In: Proceedings of 11th Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems, pp. 1167–1174 (2008)
27.
Rizvandi, N.B., Zomaya, A.Y., Lee, Y.C., Boloori, A.J., Taheri, J.: Multiple frequency selection in DVFS-enabled processors to minimize energy consumption. In: Zomaya, A.Y., Lee, Y.C. (eds.) Energy-Efficient Distributed Computing Systems. Wiley, Hoboken (2012)
28.
Sao, P., Vuduc, R.:Self-stabilizing iterative solvers. In: Proceedings ScalA 2013. ACM (2013)
29.
Sarood, O., Meneses, E., Kale, L. V.: A ‘cool’ way of improving the reliability of HPC machines. In: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, pp. 58:1–58:12 (2013)
30.
Shantharam, M., Srinivasmurthy, S., Raghavan, P.: Fault tolerant preconditioned conjugate gradient for sparse linear system solution. In: Proceedings of the ICS 2012. ACM (2012)
31.
32.
Yao, F., Demers, A., Shenker, S.: A scheduling model for reduced CPU energy. In: Proceedings of the 36th Annual Symposium on Foundations of Computer Science (FOCS), p. 374 (1995)
33.
Young, J.W.: A first order approximation to the optimum checkpoint interval. Comm. ACM 17(9), 530–531 (1974)CrossRefMATH
34.
Zhao, B., Aydin, H., Zhu, D.: Reliability-aware dynamic voltage scaling for energy-constrained real-time embedded systems. In: Proceedings of the IEEE International Conference on Computer Design (ICCD), pp. 633–639 (2008)
35.
Zhu, D., Melhem, R., Mosse, D.: The effects of energy management on reliability in real-time embedded systems. In: Proceedings of the IEEE/ACM International Conference on Computer-Aided Design (ICCAD), pp. 35–40 (2004)
Metadaten
Titel
Assessing General-Purpose Algorithms to Cope with Fail-Stop and Silent Errors
verfasst von
Anne Benoit
Aurélien Cavelan
Yves Robert
Hongyang Sun
Copyright-Jahr
2015
Buch
High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation

Print ISBN: 978-3-319-17247-7

Electronic ISBN: 978-3-319-17248-4

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-17248-4_11

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