The DOI matches its Crossref record.
A preliminary architecture for a basic data-flow processor
Open accessAbstract
A processor is described which can achieve highly parallel execution of programs represented in dataflow form.The languake implemented incorporates to the problem of structuring and managing a two-level smmory system.
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Citations
Cited by
Dennis (1980) · Computer · doi:10.1109/mc.1980.1653418 · Cited by 580
Advances in dataflow programming languages
Johnston, W. M., Hanna, J. R. P., & Millar, R. J. (2004) · ACM Computing Surveys · doi:10.1145/1013208.1013209 · Cited by 503
NeuFlow: A runtime reconfigurable dataflow processor for vision
Farabet, C., Martini, B., Corda, B., Akselrod, P., Culurciello, E., & LeCun, Y. (2011) · CVPR 2011 WORKSHOPS · doi:10.1109/cvprw.2011.5981829 · Cited by 369
Metadata
- Authors
- Dennis, J. B., & Misunas, D. P.
- Venue
- 25 years of the international symposia on Computer architecture (selected papers)
- Publisher
- ACM
- Published
- 1998-08
- Pages
- 125-131
- OpenAlex
- W2137380783
- Cited by
- 365
- References
- 0
- FWCI
- 2.23
- Type
- conference paper
- Language
- en
- Open access
- gold
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
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- CoChat. (2026). Citation check: A preliminary architecture for a basic data-flow processor. https://app.cochat.ai/papers/10.1145/285930.286058
- The paper
- Dennis, J. B., & Misunas, D. P. (1998). A preliminary architecture for a basic data-flow processor. 25 years of the international symposia on Computer architecture (selected papers). https://doi.org/10.1145/285930.286058
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
