A robust multiplexer-based FPGA inspired by biological systems
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: dependable parallel computer systems
Fifty years of research on self-replication: an overview
Artificial Life - Special issue on self-replication
Self-replicating and self-repairing multicellular automata
Artificial Life - Special issue on self-replication
Biology Meets Electronics: The Path to a Bio-inspired FPGA
ICES '00 Proceedings of the Third International Conference on Evolvable Systems: From Biology to Hardware
Reliability Analysis in Self-Repairing Embryonic Systems
EH '99 Proceedings of the 1st NASA/DOD workshop on Evolvable Hardware
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
A phylogenetic, ontogenetic, and epigenetic view of bio-inspired hardware systems
IEEE Transactions on Evolutionary Computation
Embryonics: electronic stem cells
ICAL 2003 Proceedings of the eighth international conference on Artificial life
Reliability assessment in embryonics inspired by fault-tolerant quantum computation
Proceedings of the 2nd conference on Computing frontiers
Multiple-level concatenated coding in embryonics: a dependability analysis
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
A dependability perspective on emerging technologies
Proceedings of the 3rd conference on Computing frontiers
Design for dependability in emerging technologies
ACM Journal on Emerging Technologies in Computing Systems (JETC)
A learning, multi-layered, hardware artificial immune system implemented upon an embryonic array
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
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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, throngh 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.