A large-scale study of soft-errors on GPUs in the field

Bin Nie; Devesh Tiwari; Saurabh Gupta; Evgenia Smirni; James H. Rogers

doi:10.1109/HPCA.2016.7446091

A large-scale study of soft-errors on GPUs in the field

Bin Nie, Devesh Tiwari, Saurabh Gupta, Evgenia Smirni, James H. Rogers

CCSD Planning, Partnerships, Operations

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

79 Scopus citations

Abstract

Parallelism provided by the GPU architecture has enabled domain scientists to simulate physical phenomena at a much faster rate and finer granularity than what was previously possible by CPU-based large-scale clusters. Architecture researchers have been investigating reliability characteristics of GPUs and innovating techniques to increase the reliability of these emerging computing devices. Such efforts are often guided by technology projections and simplistic scientific kernels, and performed using architectural simulators and modeling tools. Lack of large-scale field data impedes the effectiveness of such efforts. This study attempts to bridge this gap by presenting a large-scale field data analysis of GPU reliability. We characterize and quantify different kinds of soft-errors on the Titan supercomputer's GPU nodes. Our study uncovers several interesting and previously unknown insights about the characteristics and impact of soft-errors.

Original language	English
Title of host publication	Proceedings of the 2016 IEEE International Symposium on High-Performance Computer Architecture, HPCA 2016
Publisher	IEEE Computer Society
Pages	519-530
Number of pages	12
ISBN (Electronic)	9781467392112
DOIs	https://doi.org/10.1109/HPCA.2016.7446091
State	Published - Apr 1 2016
Event	22nd IEEE International Symposium on High Performance Computer Architecture, HPCA 2016 - Barcelona, Spain Duration: Mar 12 2016 → Mar 16 2016

Publication series

Name	Proceedings - International Symposium on High-Performance Computer Architecture
Volume	2016-April
ISSN (Print)	1530-0897

Conference

Conference	22nd IEEE International Symposium on High Performance Computer Architecture, HPCA 2016
Country/Territory	Spain
City	Barcelona
Period	03/12/16 → 03/16/16

Funding

This work also used the resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is managed by UT Battelle, LLC for the U.S. DOE (under the contract No. DE-AC05-00OR22725).

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10.1109/HPCA.2016.7446091

Cite this

Nie, B., Tiwari, D., Gupta, S., Smirni, E., & Rogers, J. H. (2016). A large-scale study of soft-errors on GPUs in the field. In Proceedings of the 2016 IEEE International Symposium on High-Performance Computer Architecture, HPCA 2016 (pp. 519-530). Article 7446091 (Proceedings - International Symposium on High-Performance Computer Architecture; Vol. 2016-April). IEEE Computer Society. https://doi.org/10.1109/HPCA.2016.7446091

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abstract = "Parallelism provided by the GPU architecture has enabled domain scientists to simulate physical phenomena at a much faster rate and finer granularity than what was previously possible by CPU-based large-scale clusters. Architecture researchers have been investigating reliability characteristics of GPUs and innovating techniques to increase the reliability of these emerging computing devices. Such efforts are often guided by technology projections and simplistic scientific kernels, and performed using architectural simulators and modeling tools. Lack of large-scale field data impedes the effectiveness of such efforts. This study attempts to bridge this gap by presenting a large-scale field data analysis of GPU reliability. We characterize and quantify different kinds of soft-errors on the Titan supercomputer's GPU nodes. Our study uncovers several interesting and previously unknown insights about the characteristics and impact of soft-errors.",

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Nie, B, Tiwari, D, Gupta, S, Smirni, E & Rogers, JH 2016, A large-scale study of soft-errors on GPUs in the field. in Proceedings of the 2016 IEEE International Symposium on High-Performance Computer Architecture, HPCA 2016., 7446091, Proceedings - International Symposium on High-Performance Computer Architecture, vol. 2016-April, IEEE Computer Society, pp. 519-530, 22nd IEEE International Symposium on High Performance Computer Architecture, HPCA 2016, Barcelona, Spain, 03/12/16. https://doi.org/10.1109/HPCA.2016.7446091

A large-scale study of soft-errors on GPUs in the field. / Nie, Bin; Tiwari, Devesh; Gupta, Saurabh et al.
Proceedings of the 2016 IEEE International Symposium on High-Performance Computer Architecture, HPCA 2016. IEEE Computer Society, 2016. p. 519-530 7446091 (Proceedings - International Symposium on High-Performance Computer Architecture; Vol. 2016-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Nie B, Tiwari D, Gupta S, Smirni E, Rogers JH. A large-scale study of soft-errors on GPUs in the field. In Proceedings of the 2016 IEEE International Symposium on High-Performance Computer Architecture, HPCA 2016. IEEE Computer Society. 2016. p. 519-530. 7446091. (Proceedings - International Symposium on High-Performance Computer Architecture). doi: 10.1109/HPCA.2016.7446091

A large-scale study of soft-errors on GPUs in the field

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