Speed of computation and power consumption are the two main parameters of conventional computing devices implemented in microelectronic circuits. As performance of such devices approaches physical limits, new computing paradigms are emerging. Two paradigms receiving great attention are quantum and DNA-based molecular computing. This paper focuses on DNA-based computing. This paradigm can be abstracted to growth models where computational elements called tiles are self-assembled one by one, subject to some simple hierarchical rules, to fill a given template encoding a Boolean formula. While DNA-based computational devices are known to be extremely energy efficient, little is known concerning the fundamental question of computation times. In particular, given a function, we study the time required to determine its value for a given input. In the simplest instance, the analysis has interesting connections with interacting particle systems and variational problems.
|ジャーナル||Lecture Notes in Computer Science|
|出版物ステータス||出版済み - 9 9 2005|
|イベント||10th International Workshop on DNA Computing, DNA 10 - Milan, イタリア|
継続期間: 6 7 2004 → 6 10 2004
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)