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12th Latin-American Test Workshop (LATW'11), , Brazil, March 27-30, Porto de Galinhas : Brésil (2011)
Robustness with respect to SEUs of a self-converging algorithm
R. Velazco 1, G. Foucard 1, F. Pancher 1, W. Mansour 1, G. Marqués-Costa 1, D. Sohier 2, A. Bui 2
(2011)

Self-convergence is a property of distributed systems, allowing a system, when it was perturbed or badly initialised, to recover a correct operation in a finite number of calculation steps. In this paper is explored the intrinsic robustness of a self converging algorithm with respect to soft errors resulting from SEU (Single Event Upset) phenomena. This study was performed by fault injection using a devoted test platform. A self-converging benchmark program was executed by a LEON3 processor implemented in an FPGA. The low number of observed errors puts in evidence the fault tolerance of the tested algorithm.
1:  Techniques of Informatics and Microelectronics for integrated systems Architecture (TIMA)
CNRS : UMR5159 – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG)
2:  Parallélisme, Réseaux, Systèmes d'information, Modélisation (PRISM)
CNRS : UMR8144 – Université de Versailles Saint-Quentin-en-Yvelines
Engineering Sciences/Micro and nanotechnologies/Microelectronics
microprocessor-chips – fault tolerance