Data-Driven and Demand-Driven Computer Architecture
Архитектура компьютеров, управляемая данными и запросами
1982-03-01
SCID: 54.1/xfxgzt64
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computer architecturedata-driven computer architecturedemand-driven computer architectureparallel processing
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article Free Access Share on Data-Driven and Demand-Driven Computer Architecture Authors: Philip C. Treleaven Computing Laboratory, University of Newcastle upon Tyne, Newcastle upon Tyne, NE1 7RU, England Computing Laboratory, University of Newcastle upon Tyne, Newcastle upon Tyne, NE1 7RU, EnglandView Profile , David R. Brownbridge Computing Laboratory, University of Newcastle upon Tyne, Newcastle upon Tyne, NE1 7RU, England Computing Laboratory, University of Newcastle upon Tyne, Newcastle upon Tyne, NE1 7RU, EnglandView Profile , Richard P. Hopkins Computing Laboratory, University of Newcastle upon Tyne, Newcastle upon Tyne, NE1 7RU, England Computing Laboratory, University of Newcastle upon Tyne, Newcastle upon Tyne, NE1 7RU, EnglandView Profile Authors Info & Claims ACM Computing SurveysVolume 14Issue 1March 1982 pp 93–143https://doi.org/10.1145/356869.356873Published:01 March 1982Publication History 260citation3,273DownloadsMetricsTotal Citations260Total Downloads3,273Last 12 Months319Last 6 weeks64 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
Key Findings
1
Data-driven architectures initiate instruction execution when operand data become available, enabling potentially asynchronous and parallel computation.
2
Demand-driven architectures initiate computation when a result is requested, supporting lazy evaluation and avoiding unnecessary computations.
3
The paper identifies parallelism and alternative evaluation strategies as central potential advantages of these architectures, while highlighting associated design challenges.
4
The paper surveys data-driven and demand-driven computer architectures, emphasizing execution models that depart from conventional control-flow architectures.
5
The survey compares architectural principles, implementation issues, and applications of data-driven and demand-driven approaches.
Research Object
data-driven and demand-driven computer architectures
Research Subject
the architectural principles, execution models, and comparative characteristics of data-driven and demand-driven computation
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1982-03-01
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