Abstract
Embryonics is a long-term research project attempting to draw inspiration from the biological process of ontogeny, to implement novel digital computing machines endowed with better fault-tolerant capabilities. For this purpose FPGAs are extremely useful. However, through this project we designed MuxTree, a new coarse-grained FPGA, to implement our embryonic machines. This article focuses on the issues posed by the memory storage and the advances made to achieve more robust memory structures.
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References
Barbieri, M.: The Organic Codes: The Basic Mechanism of Macroevolution. Rivista di Biologia / Biology Forum 91 (1998) 481–514.
Gilbert, S. F.: Developmental Biology. Sinauer Associates Inc., MA, 3rd ed. (1991).
Mange, D., Tomassini, M., eds.: Bio-inspired Computing Machines: Towards Novel Computational Architectures. Presses Polytechniques et Universitaires Romandes, Lausanne, Switzerland (1998).
Mange, D., Sanchez, E., Stauffer, A., Tempesti, G., Marchal, P., Piguet, C.: Embryonics: A New Methodology for Designing Field-Programmable Gate Arrays with Self-Repair and Self-Replicating Properties. IEEE Transactions on VLSI Systems, 6(3), (1998) 387–399.
Negrini, R., Sami, M. G., Stefanelli, R.: Fault Tolerance Through Reconfiguration in VLSI and WSI Arrays. The MIT Press, Cambridge, MA (1989).
Ortega, C., Tyrrell, A.: Reliability Analysis in Self-Repairing Embryonic Systems. Proc. 1st NASA/DoD Workshop on Evolvable Hardware, Pasadena, CA (1999) 120–128.
Shibayama, A., Igura, H., Mizuno, M., Yamashina, M.: An Autonomous Reconfigurable Cell Array for Fault-Tolerant LSIs. Proc. 44th IEEE International Solid-State Circuits Conference, San Francisco, CA (1997) 230–231, 462.
Sipper, M.: Fifty Years of Research on Self-Replication: an Overview. Artificial Life, 4(3) (1998) 237–257.
Tempesti, G.: A Self-Repairing Multiplexer-Based FPGA Inspired by Biological Processes. Ph.D. Thesis No. 1827, EPFL, Lausanne (1998).
Tempesti, G., Mange, D., Stauffer, A.: Self-Replicating and Self-Repairing Multicellular Automata. Artificial Life, 4(3) (1998) 259–282.
Wolfram, S.: Theory and Applications of Cellular Automata. World Scientific, Singapore (1986).
Wolpert, L.: The Triumph of the Embryo. Oxford University Press, New York (1991).
Sipper, M., Sanchez, E., Mange, D., Tomassini, M., Perez-Uribe, A., Stauffer, A.: A Phylogenetic, Ontogenetic, and Epigenetic View of Bio-Inspired Hardware Systems. IEEE Transactions on Evolutionary Computation, 1(1) (1997) 83–97.
Prodan, L., Tempesti, G., Mange, D., Stauffer, A.: Biololy Meets Electronics: The Path to a Bio-Inpired FPGA. Proc. 3rd International Conference on Evolvable Systems: From Biology to Hardware, Edinburgh, Scotland, UK (2000) 187–196.
Terry, T. M.: http://www.sp.uconn.edu/~bi107vc/fa99/terry/DNA.html
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Prodan, L., Tempesti, G., Mange, D., Stauffer, A. (2001). Embryonics: Artificial Cells Driven by Artificial DNA. In: Liu, Y., Tanaka, K., Iwata, M., Higuchi, T., Yasunaga, M. (eds) Evolvable Systems: From Biology to Hardware. ICES 2001. Lecture Notes in Computer Science, vol 2210. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45443-8_9
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DOI: https://doi.org/10.1007/3-540-45443-8_9
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