A symbiotic evolutionary design of error-correcting code with minimal power consumption

ETRI Journal

Volumn 30, Issue 6, 2008, Pages 799-806

  Lee, Heesung ^a   Kim, Euntai ^a  

^a Yonsei University   (South Korea)

Author keywords

ECC; Genetic algorithm; Power reduction; Single error correction and double error detection (SEC DED); Symbiotic evolution

Indexed keywords

CORRECTING CODES; ECC; ERROR CORRECTING CODES; MINIMAL POWERS; NEW DESIGNS; OPTIMIZATION PROBLEMS; PARITY CHECK MATRIXES; POWER REDUCTION; SINGLE-ERROR CORRECTION AND DOUBLE-ERROR DETECTION (SEC-DED); SYMBIOTIC EVOLUTION; SYMBIOTIC EVOLUTIONARY; SYMBIOTIC EVOLUTIONS;

CODES (SYMBOLS); DESIGN; ELECTRIC POWER UTILIZATION; ERROR DETECTION; GENETIC ALGORITHMS; INFORMATION THEORY; MACHINE DESIGN;

ERROR CORRECTION;

EID: 57349198280     PISSN: 12256463     EISSN: None     Source Type: Journal    
DOI: 10.4218/etrij.08.0108.0188     Document Type: Article

References (17)

1. C.L. Chen and M.Y. Hsiao, "Error-Correcting Codes for Semiconductor Memory Applications: A State-of-the-Art Review," IBM J. Res. Develop., vol. 28, July 1984, pp. 124-134.
2. H. Lee, J. Sung, and E. Kim, "Reducing Power in Error Correcting Code Using Genetic Algorithm," Proc. Int. Conf. Computer Information and Systems Science and Engineering, 2007, pp. 179-182.
3. K. Favalli and C. Metra, "Design of Low-Power CMOS Two-Rail Checkers," Journal of Microelectronics Systems Integration, vol. 5, no. 2, 1997, pp. 101-110.
4. K. Mohanram and N.A. Touba, "Input Ordering in Concurrent Checkers to Reduce Power Consumption," Proc. of IEEE Symposium on Defecated Fault Tolerance, 2002, pp. 87-95.
5. D. Rossi et al., "Power Consumption of Fault Tolerant Codes: The Active Elements," Proc. of Intentional On-Line Testing Symposium, 2003, pp. 61-67.
6. S. Ghosh, S. Basu, and N. Touba, "Reducing Power Consumption in Memory ECC Checkers," International Test Conference, 2004, pp. 1322-1331.
7. H. Lee and E. Kim, "A New Genetic Design for Error Correcting Code for Power Minimization," Journal of Circuits, Systems, and Computers, vol. 17, no. 5, Oct. 2008 (to appear).
8. E. Fujiwara and D. Pradhan, "Error-Control Coding in Computers," Computer,vol 23, 1990, pp. 63-72.
9. M. Isaka and M. Fossorier, "High-Rate Serially Concatenated Coding with Extended Hamming Codes," IEEE Communication Letters, Feb. 2005, pp. 160-162.
10. M.Y. Hsiao, "A Class of Optimal Minimum Odd-Weight-Column SECDED Codes," IBM J Res. Develop., vol. 14, July 1970, pp. 395-401.
11. H. Lee, E. Kim, and M. Park, "A Genetic Feature Weighting Scheme for Pattern Recognition," Integrated Computer-Aided Engineerings 14, 2007, pp. 161-171.
12. D.E. Moriarty and R. Miikkulainen, "Efficient Reinforcement Learning through Symbiotic Evolution," Mach. Learn., vol. 22, 1996, pp. 11-32.
13. C. Juang, J. Lin, and C. Lin, "Genetic Reinforcement Learning through Symbiotic Evolution for Fuzzy Controller Design," IEEE Trans. Syst., Man, Cybern. Part B, vol. 30, no. 2, 2000, pp. 290-302.
14. H. Juo and H. Chang, "A New Symbiotic Evolution-Based Fuzzy-Neural Approach to Fault Diagnosis of Marine Propulsion Systems," Artificial Intelligence, vol. 17, 2004, pp. 919-930.
15. H. Kim, C. Kim, and S. Kang, "A New Scan Partition Scheme for Low-Power Embedded Systems," ETRI Journal, vol. 30, no. 3, 2008, pp. 412-420.
16. Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs, Springer-Verlag, 1999.
17. D.B. Graham and N.M. Allinson, "Characterizing Virtual Eigensignatures for General Purpose Face Recognition," Face Recognition: From Theory to Applications, H. Wechsler et al., eds., 1998, vol. 163, NATO ASI Series F, Computer and Systems Sciences, pp. 446-456.