An end-to-end approach for the automatic derivation of application-aware error detectors

Galen Lyle; Shelley Chen; Karthik Pattabiraman; Zbigniew T Kalbarczyk; Ravishankar K Iyer

doi:10.1109/DSN.2009.5270291

An end-to-end approach for the automatic derivation of application-aware error detectors

Galen Lyle, Shelley Chen, Karthik Pattabiraman, Zbigniew T Kalbarczyk, Ravishankar K Iyer

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

Abstract

Critical Variable Recomputation (CVR) based error detection provides high coverage for data critical to an application while reducing the performance overhead associated with detecting benign errors. However, when implemented exclusively in software, the performance penalty associated with CVR based detection is unsuitably high. This paper addresses this limitation by providing a hybrid hardware/software tool chain which allows for the design of efficient error detectors while minimizing additional hardware. Detection mechanisms are automatically derived during compilation and mapped onto hardware where they are executed in parallel with the original task at runtime. When tested using an FPGA platform, results show that our approach incurs an area overhead of 53% while increasing execution time by 27% on average.

Original language	English (US)
Title of host publication	Proceedings of the 2009 IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2009
Pages	584-589
Number of pages	6
DOIs	https://doi.org/10.1109/DSN.2009.5270291
State	Published - Nov 25 2009
Event	2009 IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2009 - Lisbon, Portugal Duration: Jun 29 2009 → Jul 2 2009

Publication series

Name	Proceedings of the International Conference on Dependable Systems and Networks

Other

Other	2009 IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2009
Country/Territory	Portugal
City	Lisbon
Period	6/29/09 → 7/2/09

ASJC Scopus subject areas

Software
Hardware and Architecture
Computer Networks and Communications

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10.1109/DSN.2009.5270291

Cite this

Lyle, G., Chen, S., Pattabiraman, K., Kalbarczyk, Z. T., & Iyer, R. K. (2009). An end-to-end approach for the automatic derivation of application-aware error detectors. In Proceedings of the 2009 IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2009 (pp. 584-589). [5270291] (Proceedings of the International Conference on Dependable Systems and Networks). https://doi.org/10.1109/DSN.2009.5270291

An end-to-end approach for the automatic derivation of application-aware error detectors. / Lyle, Galen; Chen, Shelley; Pattabiraman, Karthik; Kalbarczyk, Zbigniew T ; Iyer, Ravishankar K.

Proceedings of the 2009 IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2009. 2009. p. 584-589 5270291 (Proceedings of the International Conference on Dependable Systems and Networks).

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

Lyle, G, Chen, S, Pattabiraman, K, Kalbarczyk, ZT & Iyer, RK 2009, An end-to-end approach for the automatic derivation of application-aware error detectors. in Proceedings of the 2009 IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2009., 5270291, Proceedings of the International Conference on Dependable Systems and Networks, pp. 584-589, 2009 IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2009, Lisbon, Portugal, 6/29/09. https://doi.org/10.1109/DSN.2009.5270291

Lyle G, Chen S, Pattabiraman K, Kalbarczyk ZT , Iyer RK. An end-to-end approach for the automatic derivation of application-aware error detectors. In Proceedings of the 2009 IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2009. 2009. p. 584-589. 5270291. (Proceedings of the International Conference on Dependable Systems and Networks). https://doi.org/10.1109/DSN.2009.5270291

Lyle, Galen ; Chen, Shelley ; Pattabiraman, Karthik ; Kalbarczyk, Zbigniew T ; Iyer, Ravishankar K. / An end-to-end approach for the automatic derivation of application-aware error detectors. Proceedings of the 2009 IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2009. 2009. pp. 584-589 (Proceedings of the International Conference on Dependable Systems and Networks).

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abstract = "Critical Variable Recomputation (CVR) based error detection provides high coverage for data critical to an application while reducing the performance overhead associated with detecting benign errors. However, when implemented exclusively in software, the performance penalty associated with CVR based detection is unsuitably high. This paper addresses this limitation by providing a hybrid hardware/software tool chain which allows for the design of efficient error detectors while minimizing additional hardware. Detection mechanisms are automatically derived during compilation and mapped onto hardware where they are executed in parallel with the original task at runtime. When tested using an FPGA platform, results show that our approach incurs an area overhead of 53% while increasing execution time by 27% on average.",

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AB - Critical Variable Recomputation (CVR) based error detection provides high coverage for data critical to an application while reducing the performance overhead associated with detecting benign errors. However, when implemented exclusively in software, the performance penalty associated with CVR based detection is unsuitably high. This paper addresses this limitation by providing a hybrid hardware/software tool chain which allows for the design of efficient error detectors while minimizing additional hardware. Detection mechanisms are automatically derived during compilation and mapped onto hardware where they are executed in parallel with the original task at runtime. When tested using an FPGA platform, results show that our approach incurs an area overhead of 53% while increasing execution time by 27% on average.

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An end-to-end approach for the automatic derivation of application-aware error detectors

Abstract

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