The DOI matches its Crossref record.
Accelerating Large Graph Algorithms on the GPU Using CUDA
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Citations
Cited by
Accelerating CUDA graph algorithms at maximum warp
Hong, S., Kim, S. K., Oguntebi, T., & Olukotun, K. (2011) · Proceedings of the 16th ACM symposium on Principles and practice of parallel programming · doi:10.1145/1941553.1941590 · Cited by 339
Medical image segmentation on GPUs – A comprehensive review
Smistad, E., Falch, T. L., Bozorgi, M., Elster, A. C., & Lindseth, F. (2015) · Medical Image Analysis · doi:10.1016/j.media.2014.10.012 · Cited by 264
GPU accelerated fuzzy connected image segmentation by using CUDA
Zhuge, Y., Cao, Y., & Miller, R. W. (2009) · 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/iembs.2009.5333158 · Cited by 19
Metadata
- Authors
- Harish, P., & Narayanan, P. J.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2008-01-21
- Pages
- 197-208
- OpenAlex
- W1504291959
- Cited by
- 734
- References
- 0
- FWCI
- 32.32
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
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
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Accelerating Large Graph Algorithms on the GPU Using CUDA. https://app.cochat.ai/papers/10.1007/978-3-540-77220-0_21
- The paper
- Harish, P., & Narayanan, P. J. (2008). Accelerating Large Graph Algorithms on the GPU Using CUDA. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-77220-0_21
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.
