Massively parallel computing on an organic molecular layer.
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| Title: | Massively parallel computing on an organic molecular layer. |
|---|---|
| Authors: | Bandyopadhyay, Anirban1 anirban.bandyo@gmail.com, Pati, Ranjit2, Sahu, Satyajit1, Peper, Ferdinand3, Fujita, Daisuke1 |
| Source: | Nature Physics. May2010, Vol. 6 Issue 5, p369-375. 7p. 4 Diagrams, 2 Graphs. |
| Subjects: | Parallel computers, Computational steering (Computer science), Supercomputers, Sequential approach (Teaching method), Computers, Multicore processors |
| Abstract: | Modern computers operate at enormous speeds—capable of executing in excess of 1013 instructions per second—but their sequential approach to processing, by which logical operations are performed one after another, has remained unchanged since the 1950s. In contrast, although individual neurons of the human brain fire at around just 103 times per second, the simultaneous collective action of millions of neurons enables them to complete certain tasks more efficiently than even the fastest supercomputer. Here we demonstrate an assembly of molecular switches that simultaneously interact to perform a variety of computational tasks including conventional digital logic, calculating Voronoi diagrams, and simulating natural phenomena such as heat diffusion and cancer growth. As well as representing a conceptual shift from serial-processing with static architectures, our parallel, dynamically reconfigurable approach could provide a means to solve otherwise intractable computational problems. [ABSTRACT FROM AUTHOR] |
| Copyright of Nature Physics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/nphys1636 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 369 Subjects: – SubjectFull: Parallel computers Type: general – SubjectFull: Computational steering (Computer science) Type: general – SubjectFull: Supercomputers Type: general – SubjectFull: Sequential approach (Teaching method) Type: general – SubjectFull: Computers Type: general – SubjectFull: Multicore processors Type: general Titles: – TitleFull: Massively parallel computing on an organic molecular layer. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bandyopadhyay, Anirban – PersonEntity: Name: NameFull: Pati, Ranjit – PersonEntity: Name: NameFull: Sahu, Satyajit – PersonEntity: Name: NameFull: Peper, Ferdinand – PersonEntity: Name: NameFull: Fujita, Daisuke IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2010 Type: published Y: 2010 Identifiers: – Type: issn-print Value: 17452473 Numbering: – Type: volume Value: 6 – Type: issue Value: 5 Titles: – TitleFull: Nature Physics Type: main |
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