Academic Journal
Molecular Sticker Model Stimulation on Silicon for a Maximum Clique Problem.
| Τίτλος: | Molecular Sticker Model Stimulation on Silicon for a Maximum Clique Problem. |
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| Συγγραφείς: | Jianguo Ning1 jgning@bit.edu.cn, Yanmei Li1 liymsmail@gmail.com, Wen Yu2 yuwen@bupt.edu.cn |
| Πηγή: | International Journal of Molecular Sciences. 2015, Vol. 16 Issue 6, p13474-13489. 16p. |
| Θεματικοί όροι: | *Molecular computers, *Processing (Computer program language), *Electronic data processing, *Information processing, *Transistors |
| Περίληψη: | Molecular computers (also called DNA computers), as an alternative to traditional electronic computers, are smaller in size but more energy efficient, and have massive parallel processing capacity. However, DNA computers may not outperform electronic computers owing to their higher error rates and some limitations of the biological laboratory. The stickers model, as a typical DNA-based computer, is computationally complete and universal, and can be viewed as a bit-vertically operating machine. This makes it attractive for silicon implementation. Inspired by the information processing method on the stickers computer, we propose a novel parallel computing model called DEM (DNA Electronic Computing Model) on System-on-a-Programmable-Chip (SOPC) architecture. Except for the significant difference in the computing medium-- transistor chips rather than bio-molecules--the DEM works similarly to DNA computers in immense parallel information processing. Additionally, a plasma display panel (PDP) is used to show the change of solutions, and helps us directly see the distribution of assignments. The feasibility of the DEM is tested by applying it to compute a maximum clique problem (MCP) with eight vertices. Owing to the limited computing sources on SOPC architecture, the DEM could solve moderate-size problems in polynomial time. [ABSTRACT FROM AUTHOR] |
| Βάση Δεδομένων: | Academic Search Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:asx&genre=article&issn=16616596&ISBN=&volume=16&issue=6&date=20150601&spage=13474&pages=13474-13489&title=International Journal of Molecular Sciences&atitle=Molecular%20Sticker%20Model%20Stimulation%20on%20Silicon%20for%20a%20Maximum%20Clique%20Problem.&aulast=Jianguo%20Ning&id=DOI:10.3390/ijms160613474 Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
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| Items | – Name: Title Label: Title Group: Ti Data: Molecular Sticker Model Stimulation on Silicon for a Maximum Clique Problem. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jianguo+Ning%22">Jianguo Ning</searchLink><relatesTo>1</relatesTo><i> jgning@bit.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yanmei+Li%22">Yanmei Li</searchLink><relatesTo>1</relatesTo><i> liymsmail@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Wen+Yu%22">Wen Yu</searchLink><relatesTo>2</relatesTo><i> yuwen@bupt.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Molecular+Sciences%22">International Journal of Molecular Sciences</searchLink>. 2015, Vol. 16 Issue 6, p13474-13489. 16p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Molecular+computers%22">Molecular computers</searchLink><br />*<searchLink fieldCode="DE" term="%22Processing+%28Computer+program+language%29%22">Processing (Computer program language)</searchLink><br />*<searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink><br />*<searchLink fieldCode="DE" term="%22Information+processing%22">Information processing</searchLink><br />*<searchLink fieldCode="DE" term="%22Transistors%22">Transistors</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Molecular computers (also called DNA computers), as an alternative to traditional electronic computers, are smaller in size but more energy efficient, and have massive parallel processing capacity. However, DNA computers may not outperform electronic computers owing to their higher error rates and some limitations of the biological laboratory. The stickers model, as a typical DNA-based computer, is computationally complete and universal, and can be viewed as a bit-vertically operating machine. This makes it attractive for silicon implementation. Inspired by the information processing method on the stickers computer, we propose a novel parallel computing model called DEM (DNA Electronic Computing Model) on System-on-a-Programmable-Chip (SOPC) architecture. Except for the significant difference in the computing medium-- transistor chips rather than bio-molecules--the DEM works similarly to DNA computers in immense parallel information processing. Additionally, a plasma display panel (PDP) is used to show the change of solutions, and helps us directly see the distribution of assignments. The feasibility of the DEM is tested by applying it to compute a maximum clique problem (MCP) with eight vertices. Owing to the limited computing sources on SOPC architecture, the DEM could solve moderate-size problems in polynomial time. [ABSTRACT FROM AUTHOR] |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/ijms160613474 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 13474 Subjects: – SubjectFull: Molecular computers Type: general – SubjectFull: Processing (Computer program language) Type: general – SubjectFull: Electronic data processing Type: general – SubjectFull: Information processing Type: general – SubjectFull: Transistors Type: general Titles: – TitleFull: Molecular Sticker Model Stimulation on Silicon for a Maximum Clique Problem. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jianguo Ning – PersonEntity: Name: NameFull: Yanmei Li – PersonEntity: Name: NameFull: Wen Yu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 16616596 Numbering: – Type: volume Value: 16 – Type: issue Value: 6 Titles: – TitleFull: International Journal of Molecular Sciences Type: main |
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