RT Journal Article
T1 Error Detection and Mitigation of Data-Intensive Microprocessor Applications Using SIMD and Trace Monitoring
A1 Peña Fernandez, Manuel
A1 Lindoso Muñoz, Almudena
A1 Entrena Arrontes, Luis Alfonso
A1 García Valderas, Mario
AB This article proposes a software error mitigation approach that uses the single instruction multiple data (SIMD) coprocessor to accelerate computation over redundant data. In addition, an external IP connected to the microprocessor's trace interface is used to detect errors that are difficult to cover with software-implemented techniques. The proposed approach has been implemented in an ARM microprocessor, and an irradiation campaign with neutrons has been carried out at Los Alamos National Laboratory. Experimental results demonstrate the high error coverage (more than 99.9%) of the proposed approach. The neutron cross section of errors that were not corrected nor detected was reduced by more than three orders of magnitude.
PB IEEE
SN 0018-9499
YR 2020
FD 2020-07
LK https://hdl.handle.net/10016/32701
UL https://hdl.handle.net/10016/32701
LA eng
DS e-Archivo
RD 1 sept. 2024