Macro-programmable reconfigurable stream processor for collaborative manufacturing systems.
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| Title: | Macro-programmable reconfigurable stream processor for collaborative manufacturing systems. |
|---|---|
| Authors: | Kirischian, Valeri1 vkirisch@ee.ryerson.ca, Geurkov, Vadim1, Chun, Pill1, Kirischian, Lev1 |
| Source: | Journal of Intelligent Manufacturing. Dec2008, Vol. 19 Issue 6, p723-734. 12p. 1 Color Photograph, 6 Diagrams, 3 Charts, 2 Graphs. |
| Subjects: | Macroprogramming, Manufacturing processes, Field programmable gate arrays, Digital signal processing, Computer architecture, Microprocessors |
| Abstract: | Growing demand for high speed processing of streamed data (e.g. video-streams, digital signal streams, communication streams, etc.) in the advanced manufacturing environments requires the adequate cost-efficient stream-processing platforms. Platforms based on the embedded microprocessors often cannot satisfy performance requirements due to limitations associated with the sequential nature of data execution process. During the last decade, development and prototyping of the above embedded platforms has started moving towards utilization of the Field Programmable Gate Array (FPGA) devices. However, the programming of an application to the FPGA based platform became an issue due to relatively complicated hardware design process. The paper presents an approach which allows simplification of the application programming process by utilization of: (i) the uniformed FPGA platform with the dynamically reconfigurable architecture, (ii) a programming technique based on a temporal partitioning of the application in segments which can be described in terms of macro-operators (function specific virtual components). The paper describes the concept of the approach, presents the analytical investigation and experimental verification of the cost-effectiveness of the proposed platform comparing to the platforms based on sequential micro-processors. It is also shown that the approach can be beneficially utilized in collaborative design and manufacturing. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Intelligent Manufacturing 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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 35076959 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Macro-programmable reconfigurable stream processor for collaborative manufacturing systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kirischian%2C+Valeri%22">Kirischian, Valeri</searchLink><relatesTo>1</relatesTo><i> vkirisch@ee.ryerson.ca</i><br /><searchLink fieldCode="AR" term="%22Geurkov%2C+Vadim%22">Geurkov, Vadim</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Chun%2C+Pill%22">Chun, Pill</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kirischian%2C+Lev%22">Kirischian, Lev</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+Manufacturing%22">Journal of Intelligent Manufacturing</searchLink>. Dec2008, Vol. 19 Issue 6, p723-734. 12p. 1 Color Photograph, 6 Diagrams, 3 Charts, 2 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Macroprogramming%22">Macroprogramming</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+processes%22">Manufacturing processes</searchLink><br /><searchLink fieldCode="DE" term="%22Field+programmable+gate+arrays%22">Field programmable gate arrays</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+signal+processing%22">Digital signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+architecture%22">Computer architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Microprocessors%22">Microprocessors</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Growing demand for high speed processing of streamed data (e.g. video-streams, digital signal streams, communication streams, etc.) in the advanced manufacturing environments requires the adequate cost-efficient stream-processing platforms. Platforms based on the embedded microprocessors often cannot satisfy performance requirements due to limitations associated with the sequential nature of data execution process. During the last decade, development and prototyping of the above embedded platforms has started moving towards utilization of the Field Programmable Gate Array (FPGA) devices. However, the programming of an application to the FPGA based platform became an issue due to relatively complicated hardware design process. The paper presents an approach which allows simplification of the application programming process by utilization of: (i) the uniformed FPGA platform with the dynamically reconfigurable architecture, (ii) a programming technique based on a temporal partitioning of the application in segments which can be described in terms of macro-operators (function specific virtual components). The paper describes the concept of the approach, presents the analytical investigation and experimental verification of the cost-effectiveness of the proposed platform comparing to the platforms based on sequential micro-processors. It is also shown that the approach can be beneficially utilized in collaborative design and manufacturing. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Intelligent Manufacturing 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.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10845-008-0123-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 723 Subjects: – SubjectFull: Macroprogramming Type: general – SubjectFull: Manufacturing processes Type: general – SubjectFull: Field programmable gate arrays Type: general – SubjectFull: Digital signal processing Type: general – SubjectFull: Computer architecture Type: general – SubjectFull: Microprocessors Type: general Titles: – TitleFull: Macro-programmable reconfigurable stream processor for collaborative manufacturing systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kirischian, Valeri – PersonEntity: Name: NameFull: Geurkov, Vadim – PersonEntity: Name: NameFull: Chun, Pill – PersonEntity: Name: NameFull: Kirischian, Lev IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2008 Type: published Y: 2008 Identifiers: – Type: issn-print Value: 09565515 Numbering: – Type: volume Value: 19 – Type: issue Value: 6 Titles: – TitleFull: Journal of Intelligent Manufacturing Type: main |
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