On the Impact of Hardware Faults – An Investigation of the Relationship between Workload Inputs and Failure Mode Distributions
Paper in proceeding, 2012

Technology scaling of integrated circuits is making transistors increasingly sensitive to process variations, wear-out effects and ionizing particles. This may lead to an increasing rate of transient and intermittent errors in future microprocessors. In order to assess the risk such errors pose to safety critical systems, it is essential to investigate how temporary errors in the instruction set architecture (ISA) registers and main memory locations influence the behaviour of executing programs. To this end, we investigate – by means of extensive fault injection experiments – how such errors affect the execution of four target programs. The paper makes three contributions. First, we investigate how the failure modes of the target programs vary for different input sets. Second, we evaluate the error coverage of a software-implemented hardware fault tolerant technique that relies on triple-time redundant execution, majority voting and forward recovery. Third, we propose an approach based on assembly language metrics which can be used to correlate the dynamic fault-free behaviour of a program with its failure mode distribution obtained by fault injection.

software-implemented hardware fault tolerance

failure mode distributions.

fault injection

dependability assessment

microprocessor faults


Domenico Di Leo

University of Naples Federico II

Fatemeh Ayatolahi

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Behrooz Sangchoolie

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Johan Karlsson

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Roger Johansson

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 7612 198-209
978-3-642-33677-5 (ISBN)

Areas of Advance

Information and Communication Technology


Subject Categories

Computer Systems





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