TY - GEN
T1 - Dependability-increasing method of processors under a space radiation environment
AU - Shirahashi, Yuya
AU - Watanabe, Minoru
PY - 2013
Y1 - 2013
N2 - Optically reconfigurable gate arrays (ORGAs) can be reconfigured using error-inclusive configuration contexts under a radiation-rich space environment. Therefore, the ORGA presents an important benefit: the allowable amount of configuration data damage is greater than that by field programmable gate arrays (FPGAs) with error-checking and correction. However, the ORGA's programmable gate array itself is never as robust against space radiation as that of an application-specific integrated circuit (ASIC) because the programmable architecture of its gate array is the same as that of FPGAs. Therefore, to achieve a drastic increase in the robust capability of a fine-grained programmable gate array on an ORGA-VLSI, this paper presents a proposal of a novel dynamic module multiple redundancy scheme based on a mono-instruction set computer architecture exploiting high-speed dynamic reconfiguration.
AB - Optically reconfigurable gate arrays (ORGAs) can be reconfigured using error-inclusive configuration contexts under a radiation-rich space environment. Therefore, the ORGA presents an important benefit: the allowable amount of configuration data damage is greater than that by field programmable gate arrays (FPGAs) with error-checking and correction. However, the ORGA's programmable gate array itself is never as robust against space radiation as that of an application-specific integrated circuit (ASIC) because the programmable architecture of its gate array is the same as that of FPGAs. Therefore, to achieve a drastic increase in the robust capability of a fine-grained programmable gate array on an ORGA-VLSI, this paper presents a proposal of a novel dynamic module multiple redundancy scheme based on a mono-instruction set computer architecture exploiting high-speed dynamic reconfiguration.
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U2 - 10.1007/978-3-642-36812-7_21
DO - 10.1007/978-3-642-36812-7_21
M3 - Conference contribution
AN - SCOPUS:84875523700
SN - 9783642368110
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 218
BT - Reconfigurable Computing
T2 - 9th International Symposium on Applied Reconfigurable Computing, ARC 2013
Y2 - 25 March 2013 through 27 March 2013
ER -