1.
Stefan, G.; Malita, M.
The splicing mechanism and the Connex memory Proceedings Article
In: Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97), pp. 225-229, 1997.
Abstract | Links | BibTeX | Tags: Splicing;DNA computing;Solid state circuits;Silicon;Biology computing;Parallel processing;Magnetic heads;Automata;Mathematics;Concurrent computing
@inproceedings{592300,
title = {The splicing mechanism and the Connex memory},
author = {G. Stefan and M. Malita},
doi = {10.1109/ICEC.1997.592300},
year = {1997},
date = {1997-04-01},
booktitle = {Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97)},
pages = {225-229},
abstract = {Presents the main ideas concerning the implementation of a molecular mechanism in solid-state circuits: the splicing operation. The physical support for this operation is the Connex memory circuit (Stefan, 1986, 1995). Observing the similarities between a DNA computing-based mechanism and this new type of memory, we make a proposal to implement fine-grain computational parallelism on silicon. We promote this solution because a pure biological process is very hard to interface with machines in today's technologies. We make also evaluations of the complexity of our proposed machine.},
keywords = {Splicing;DNA computing;Solid state circuits;Silicon;Biology computing;Parallel processing;Magnetic heads;Automata;Mathematics;Concurrent computing},
pubstate = {published},
tppubtype = {inproceedings}
}
Presents the main ideas concerning the implementation of a molecular mechanism in solid-state circuits: the splicing operation. The physical support for this operation is the Connex memory circuit (Stefan, 1986, 1995). Observing the similarities between a DNA computing-based mechanism and this new type of memory, we make a proposal to implement fine-grain computational parallelism on silicon. We promote this solution because a pure biological process is very hard to interface with machines in today's technologies. We make also evaluations of the complexity of our proposed machine.