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Understanding Software Application B...

Sharma, Ankur.

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Understanding Software Application Behaviour in Presence of Permanent and Intermittent Hardware Faults.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Understanding Software Application Behaviour in Presence of Permanent and Intermittent Hardware Faults./
Author:	Sharma, Ankur.
Description:	69 p.
Notes:	Source: Masters Abstracts International, Volume: 51-06.
Contained By:	Masters Abstracts International51-06(E).
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1538937
ISBN:	9781303132421

Understanding Software Application Behaviour in Presence of Permanent and Intermittent Hardware Faults.
Sharma, Ankur.

Understanding Software Application Behaviour in Presence of Permanent and Intermittent Hardware Faults. - 69 p.

Source: Masters Abstracts International, Volume: 51-06.

Thesis (M.S.)--University of California, Los Angeles, 2013.

Over past three decades technological advancement in fabrication of VLSI ICs has been accompanied by shrinking of device sizes and scaling of supply voltage. While power, area and performance have constantly improved, hardware reliability is becoming a growing concern. Due to increased process, voltage and temperature (PVT) variations, the infant mortality rate has gone up. Coupled with PVT variations, aging and wearout induced failures have exacerbated the problem as devices unexpectedly fail while in operation. Although a significant fraction of emerging failure and wearout mechanisms result in intermittent or permanent faults in the hardware, their impact (as distinct from transient faults) on software applications has not been well studied. In this work, we analyze the impact of such failures on software applications and develop a distinguishing application characteristic, referred to as similarity from basic circuit-level understanding of the failure mechanisms. We present a mathematical definition and approximations for similarity computation for practical software applications and experimentally verify the relationship between similarity and fault rate. Leveraging the dependence of application robustness on similarity metric, we present example architecture independent code transformations to reduce similarity and thereby the worst case fault rate with minimal performance degradation. The experiments with arithmetic unit faults show as much as 74% improvement in the worst case fault rate on benchmark kernels with less than 10% performance degradation.

ISBN: 9781303132421Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Understanding Software Application Behaviour in Presence of Permanent and Intermittent Hardware Faults.
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020 $a 9781303132421
035 $a (MiAaPQ)AAI1538937
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100 1 $a Sharma, Ankur. $3 2092078
245 1 0 $a Understanding Software Application Behaviour in Presence of Permanent and Intermittent Hardware Faults.
300 $a 69 p.
500 $a Source: Masters Abstracts International, Volume: 51-06.
500 $a Adviser: Puneet Gupta.
502 $a Thesis (M.S.)--University of California, Los Angeles, 2013.
520 $a Over past three decades technological advancement in fabrication of VLSI ICs has been accompanied by shrinking of device sizes and scaling of supply voltage. While power, area and performance have constantly improved, hardware reliability is becoming a growing concern. Due to increased process, voltage and temperature (PVT) variations, the infant mortality rate has gone up. Coupled with PVT variations, aging and wearout induced failures have exacerbated the problem as devices unexpectedly fail while in operation. Although a significant fraction of emerging failure and wearout mechanisms result in intermittent or permanent faults in the hardware, their impact (as distinct from transient faults) on software applications has not been well studied. In this work, we analyze the impact of such failures on software applications and develop a distinguishing application characteristic, referred to as similarity from basic circuit-level understanding of the failure mechanisms. We present a mathematical definition and approximations for similarity computation for practical software applications and experimentally verify the relationship between similarity and fault rate. Leveraging the dependence of application robustness on similarity metric, we present example architecture independent code transformations to reduce similarity and thereby the worst case fault rate with minimal performance degradation. The experiments with arithmetic unit faults show as much as 74% improvement in the worst case fault rate on benchmark kernels with less than 10% performance degradation.
590 $a School code: 0031.
650 4 $a Engineering, Electronics and Electrical. $3 626636
690 $a 0544
710 2 $a University of California, Los Angeles. $b Electrical Engineering 0303. $3 2092079
773 0 $t Masters Abstracts International $g 51-06(E).
790 $a 0031
791 $a M.S.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1538937