The DOI matches its Crossref record; the references it cites are not checked yet.
Fast In-Place Sorting with CUDA Based on Bitonic Sort
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This is not unexpected, as there are few truly in-place GPU algorithms that reorder inputs ([49] is a notable exception).”
From Bandwidth-Optimal Random Shuffling for GPUs (2022) · cites this paper as [49]
Citations
The citation lists are queued
They are fetched later and appear here then.
References 15 · Cited by 54
Research works printed but not linked: 2
- Purcell, T.J., Donner, C., Cammarano, M., Jensen, H.W., Hanrahan, P.: Photon mapping on programmable graphics hardware. In: HWWS 2003: Proceedings of the ACM SIGGRAPH/EUROGRAPHICS Conference on Graphics Hardware, Aire-la-Ville, Switzerland, pp. 41–50. Eurographics Association (2003)
- Grand, S.L.: Broad-phase collision detection with cuda. In: GPU Gems, vol. 3, Addison-Wesley, Reading (2007)
Metadata
- Authors
- Peters, H., Schulz-Hildebrandt, O., & Luttenberger, N.
- Affiliations
- Christian-Albrechts-Universität zu Kiel (DE)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2010
- Pages
- 403-410
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1766577897
- Cited by
- 54
- References
- 15
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 1 · 2022: 2 · 2021: 1 · 2019: 4 · 2018: 8 · 2017: 4 · 2016: 3 · 2015: 8 · 2014: 7 · 2013: 8 · 2012: 2
- FWCI
- 2.52
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Hardware and Architecture › Parallel Computing and Optimization Techniques
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Computer Graphics and Visualization Techniques
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Graph Theory and Algorithms
- Keywords
- bitonic sort, in-place sorting, GPU sorting, CUDA, parallel sorting, global memory access, GPU co-processing
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.
Statistics and arithmetic are recomputed, not judged.
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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: Fast In-Place Sorting with CUDA Based on Bitonic Sort. https://app.cochat.ai/papers/10.1007/978-3-642-14390-8_42
- The paper
- Peters, H., Schulz-Hildebrandt, O., & Luttenberger, N. (2010). Fast In-Place Sorting with CUDA Based on Bitonic Sort. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-14390-8_42
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.
