The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
An MPI–CUDA library for image processing on HPC architectures
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“Bu yeni algoritma var olan Brute Force algoritmasından daha iyi sonuç vermiştir.”
From GPU Programlamada CUDA Platformu Kullanılan Paralel Görüntü İşleme Çalışmalarının İncelenmesi (2020) · cites this paper as [94]
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Cites
Tissue microarrays for high-throughput molecular profiling of tumor specimens
Kononen, J., Bubendorf, L., Kallionimeni, A., Bärlund, M., Schraml, P., Leighton, S., Torhorst, J., Mihatsch, M. J., Sauter, G., & Kallionimeni, O.-P. (1998) · Nature Medicine · doi:10.1038/nm0798-844 · Cited by 4,099
Snir, M., Otto, S. W., WALKER, D. W., Dongarra, J. J., & Huss‐Lederman, S. (1996) · Cited by 2,152
(2006) · Cited by 1,979
Blackford, L. S., Choi, J., Cleary, A., D'Azevedo, E., Demmel, J., Dhillon, I., Dongarra, J., Hammarling, S., Henry, G., Petitet, A., et al. (1997) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9780898719642 · Cited by 1,030
Scan Primitives for GPU Computing
Sengupta, S., Harris, M., Zhang, Y., & Owens, J. D. (2007) · eScholarship (California Digital Library) · doi:10.2312/eggh/eggh07/097-106 · Cited by 510
Handbook of Computer Vision Algorithms in Image Algebra
Wilson, J. N., & Ritter, G. X. (2000) · CRC Press eBooks · doi:10.1201/9781420042382 · Cited by 434
Tissue microarrays (TMAs) for high-throughput molecular pathology research
Nocito, A., Kononen, J., Kallioniemi, O., et al. (2001) · International Journal of Cancer · doi:10.1002/ijc.1385 · Cited by 242
(2002) · PubMed · Cited by 162
Technology Insight: identification of biomarkers with tissue microarray technology
Giltnane, J. M., & Rimm, D. L. (2004) · Nature Clinical Practice Oncology · doi:10.1038/ncponc0046 · Cited by 160
Accelerating linpack with CUDA on heterogenous clusters
Fatica, M. (2009) · doi:10.1145/1513895.1513901 · Cited by 140
Cited by
GPU Programlamada CUDA Platformu Kullanılan Paralel Görüntü İşleme Çalışmalarının İncelenmesi
AYDIN, S., SAMET, R., & BAY, Ö. F. (2020) · Politeknik Dergisi · doi:10.2339/politeknik.563767 · Cited by 3
“Ayrıca Zhang ve diğerlerinin [95] 2014 ve Galizia ve diğerlerinin [96] ise 2015 yılında yaptıkları çalışmada kütüphaneler kullanılmaktadır.”
Metadata
- Authors
- Galizia, A., D’Agostino, D., & Clematis, A.
- Affiliations
- Istituto di Matematica Applicata e Tecnologie Informatiche (IT)
- Corresponding author
- Galizia, Antonella
- Venue
- Journal of Computational and Applied Mathematics
- Publisher
- Elsevier BV
- Published
- 2015-01
- Volume
- 273
- Pages
- 414-427
- ISSN
- 0377-0427 (ISSN-L)
- OpenAlex
- W2014202388
- Cited by
- 19
- References
- 35
- Citations by year
- 2026: 1 · 2024: 1 · 2022: 1 · 2021: 2 · 2019: 6 · 2017: 1 · 2016: 4 · 2015: 3
- FWCI
- 4.28
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 1461 d)
- Locations
- Journal of Computational and Applied Mathematics (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 › Computer Networks and Communications › Distributed and Parallel Computing Systems
- Keywords
- image processing, GPU clusters, MPI, CUDA, heterogeneous computing, GPU acceleration, speedup
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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.
Statistics and arithmetic are recomputed, not judged.
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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.
