Academic literature on the topic 'Automatic Vectorization'

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Journal articles on the topic "Automatic Vectorization"

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Feng, Jing Ge, Ye Ping He, and Qiu Ming Tao. "Evaluation of Compilers’ Capability of Automatic Vectorization Based on Source Code Analysis." Scientific Programming 2021 (November 30, 2021): 1–15. http://dx.doi.org/10.1155/2021/3264624.

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Automatic vectorization is an important technique for compilers to improve the parallelism of programs. With the widespread usage of SIMD (Single Instruction Multiple Data) extensions in modern processors, automatic vectorization has become a hot topic in the research of compiler techniques. Accurately evaluating the effectiveness of automatic vectorization in typical compilers is quite valuable for compiler optimization and design. This paper evaluates the effectiveness of automatic vectorization, analyzes the limitation of automatic vectorization and the main causes, and improves the automat
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Egunov, V. A., and A. G. Kravets. "The New Method for Increasing the Efficiency of Vectorization of BLAS Operations." Informacionnye Tehnologii 30, no. 6 (2024): 318–28. http://dx.doi.org/10.17587/it.30.318-328.

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The issue of increasing the efficiency of software for computing architectures that support vector extensions of the command system is considered. Modern compilers can perform automatic vectorization of calculations, convert programs from a scalar representation to a vector implementation. The paper analyzes the effectiveness of automatic vectorization performed by modern compilers, discusses the problems inherent in automatic vectorization. A new algorithm for vectorization of calculations is proposed, which allows to significantly increasing the efficiency of the resulting software.
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Vyukova, N. I., V. A. Galatenko, and S. V. Samborskij. "Directive and Automatic Loop Vectorization." PROGRAMMNAYA INGENERIA 7, no. 10 (2016): 435–45. http://dx.doi.org/10.17587/prin.7.435-445.

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Petersen, Leaf, Dominic Orchard, and Neal Glew. "Automatic SIMD vectorization for Haskell." ACM SIGPLAN Notices 48, no. 9 (2013): 25–36. http://dx.doi.org/10.1145/2544174.2500605.

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Anderson, Andrew, Avinash Malik, and David Gregg. "Automatic Vectorization of Interleaved Data Revisited." ACM Transactions on Architecture and Code Optimization 12, no. 4 (2016): 1–25. http://dx.doi.org/10.1145/2838735.

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Eremeev, Sergey, Artyom Abakumov, Dmitry Andrianov, and Tamara Shirabakina. "Vectorization Method of Satellite Images Based on Their Decomposition by Topological Features." Informatics and Automation 22, no. 1 (2023): 110–45. http://dx.doi.org/10.15622/ia.22.1.5.

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Vectorization of objects from an image is necessary in many areas. The existing methods of vectorization of satellite images do not provide the necessary quality of automation. Therefore, manual labor is required in this area, but the volume of incoming information usually exceeds the processing speed. New approaches are needed to solve such problems. The method of vectorization of objects in images using image decomposition into topological features is proposed in the article. It splits the image into separate related structures and relies on them for further work. As a result, already at thi
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Stock, Kevin, Louis-Noël Pouchet, and P. Sadayappan. "Using machine learning to improve automatic vectorization." ACM Transactions on Architecture and Code Optimization 8, no. 4 (2012): 1–23. http://dx.doi.org/10.1145/2086696.2086729.

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Li, Yu-ping, Zhan-jie Guo, and Hui Liu. "Structure optimization method based on automatic vectorization." Evolutionary Intelligence 13, no. 1 (2019): 51–58. http://dx.doi.org/10.1007/s12065-019-00229-2.

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Chen, Yizi, Joseph Chazalon, Edwin Carlinet, Minh Ôn Vũ Ngoc, Clément Mallet, and Julien Perret. "Automatic vectorization of historical maps: A benchmark." PLOS ONE 19, no. 2 (2024): e0298217. http://dx.doi.org/10.1371/journal.pone.0298217.

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Shape vectorization is a key stage of the digitization of large-scale historical maps, especially city maps that exhibit complex and valuable details. Having access to digitized buildings, building blocks, street networks and other geographic content opens numerous new approaches for historical studies such as change tracking, morphological analysis and density estimations. In the context of the digitization of Paris atlases created in the 19th and early 20th centuries, we have designed a supervised pipeline that reliably extract closed shapes from historical maps. This pipeline is based on a
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Esraa, Esraa. "Predicting Loop Vectorization through Machine Learning Algorithms." Fusion: Practice and Applications 15, no. 2 (2024): 36–45. http://dx.doi.org/10.54216/fpa.150203.

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Automatic vectorization is often utilized to improve the speed of compute-intensive programs on current CPUs. However, there is enormous space for improvement in present compiler auto-vectorization capabilities. Execution with optimizing code on these resource-controlled strategies is essential for both energy and performance efficiency. While vectorization suggests major performance developments, conventional compiler auto-vectorization techniques often fail. This study investigated the prospective of machine learning algorithms to enhance vectorization. The study proposes an ensemble learnin
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Dissertations / Theses on the topic "Automatic Vectorization"

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Karrenberg, Ralf [Verfasser], and Sebastian [Akademischer Betreuer] Hack. "Automatic SIMD vectorization of SSA-based control flow graphs / Ralf Karrenberg. Betreuer: Sebastian Hack." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2015. http://d-nb.info/1071087355/34.

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Soyez-Martin, Claire. "From semigroup theory to vectorization : recognizing regular languages." Electronic Thesis or Diss., Université de Lille (2022-....), 2023. http://www.theses.fr/2023ULILB052.

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L'évaluation efficace des expressions régulières constitue un défi persistant depuis de nombreuses décennies. Au fil du temps, des progrès substantiels ont été réalisés grâce à une variété d'approches, allant de nouveaux et ingénieux algorithmes à des optimisations complexes de bas niveau.Les outils de pointe de ce domaine utilisent ces techniques d'optimisation, et repoussent constamment les limites de leur efficacité. Une avancée notoire réside dans l'intégration de la vectorisation, qui exploite une forme de parallélisme de bas niveau pour traiter l'entrée par blocs, entraînant ainsi d'impo
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Tayeb, Hayfa. "Optimisation des applications HPC avec la vectorisation et l’ordonnancement multicritère des tâches sur les systèmes hétérogènes." Electronic Thesis or Diss., Bordeaux, 2025. http://www.theses.fr/2025BORD0042.

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Les applications de calcul à haute performance (HPC), telles que les simulations numériques, nécessitent d’énormes capacités de calcul. Ces applications requièrent des logiciels qui exploitent efficacement les capacités du matériel. Cette thèse se concentre sur l’optimisation des applications HPC en intervenant à différents niveaux de la pile logicielle. L’optimisation vise deux principales métriques : la performance et l’efficacité énergétique. Les processeurs modernes offrent du parallélisme au niveau des données grâce aux instructions vectorielles traitant plusieurs données simultanément. C
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Santos, Jefersson Alex dos 1984. "Reconhecimento semi-automatico e vetorização de regiões em imagens de sensoriamento remoto." [s.n.], 2009. http://repositorio.unicamp.br/jspui/handle/REPOSIP/276150.

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Orientador: Ricardo da Silva Torres<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação<br>Made available in DSpace on 2018-08-13T10:41:05Z (GMT). No. of bitstreams: 1 Santos_JeferssonAlexdos_M.pdf: 3412363 bytes, checksum: 9f3c3640964ef3c4b39b2ee532941a42 (MD5) Previous issue date: 2009<br>Resumo: O uso de imagens de sensoriamento remoto (ISRs) como fonte de informação em aplicações voltadas para o agro-negócio e bastante comum. Nessas aplicações, saber como é a ocupação espacial é fundamental. Entretanto, reconhecer e diferenciar regiões de culturas agríc
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Barçon, Étienne. "Vectorisation automatique de voiries urbaines à partir des données LiDAR d'un système de cartographie mobile." Electronic Thesis or Diss., Strasbourg, 2024. http://www.theses.fr/2024STRAD011.

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Cette thèse aborde l’automatisation des procédés de cartographie urbaine allant de l’échelle de la rue à celle de la ville. Elle intervient dans un contexte de modification des procédures de levé topographique entrainé par l’essor des capteurs LiDAR embarqués. Si cette évolution technologique réduit le temps nécessaire à l'acquisition des données sur le terrain, elle augmente également le volume et le temps nécessaire au traitement des nuages de points obtenus vers d’autres livrables comme des plans topographiques. Cette thèse propose et met en œuvre une méthodologie visant à automatiser la pr
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Beltrão, Éric Tadiello. "Automação no processo de vetorização de áreas de interesse e buffer variável sobre imagens de satélite." Universidade Federal de Santa Maria, 2012. http://repositorio.ufsm.br/handle/1/9565.

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The constant improvement in computer application development techniques, combined with the technological advancement of electronic devices that support such systems, comes with the most contributing significantly different areas of knowledge, adding to these, often, greater accuracy and agility in their processes. Based on this context, and returning our looks for areas of geographic information System (GIS), and Digital image processing, the development of two programs that serve as a proposal of technological innovation as regards the vectorization of areas of interest on satellite im
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Chen, Kuan-Hsu, and 陳冠旭. "An Automatic Superword Vectorization in LLVM." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/89611321628472772549.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>98<br>More and more modern processors support SIMD instructions for improving performance in media applications. Programmers usually need detailed target-specific knowledge to use SIMD instructions directly. Thus, an auto-vectorization compiler that automatically generates efficient SIMD instructions is in urgent need. We implement an automatic superword vectorization, based on the LLVM compiler infrastructure, to which an auto-vectorization and an alignment analysis passes have been added. The auto-vectorization pass exploits data-parallelism in a basic block and
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Lee, Sung-Hsi, and 李松禧. "A Study on Automatic Vectorization of Cadastral Maps." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/22557583603757970940.

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碩士<br>國立中興大學<br>土木工程學系所<br>97<br>The popularity of information technology and the emerging expansion of the internet bring big impact to the human and also change the way of data operation. In this prevalence, people are used to obtain information from the internet and process data by using computer. The necessary hardcopy paper can be digitized into the data that can be processed into information by computer. Recently, the governments think that the material in paper is hard to keep, search and circulate. More and more maps and books are digitalized by outsourcing. The most cases are the d
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Shou, Yixin. "A unified compiler framework for program analysis, optimization, and automatic vectorization with chains of recurrences." 2009. http://etd.lib.fsu.edu/theses/available/etd-04132009-110951.

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Thesis (Ph. D.)--Florida State University, 2009.<br>Advisor: Robert A. van Engelen, Florida State University, College of Arts and Sciences, Dept. of Computer Science. Title and description from dissertation home page (viewed June 24, 2009). Document formatted into pages; contains xiii, 163 pages. Includes bibliographical references.
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Books on the topic "Automatic Vectorization"

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Karrenberg, Ralf. Automatic SIMD Vectorization of SSA-based Control Flow Graphs. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-10113-8.

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Karrenberg, Ralf. Automatic SIMD Vectorization of SSA-Based Control Flow Graphs. Springer Vieweg. in Springer Fachmedien Wiesbaden GmbH, 2015.

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Karrenberg, Ralf. Automatic SIMD Vectorization of SSA-based Control Flow Graphs. Springer Vieweg, 2015.

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Book chapters on the topic "Automatic Vectorization"

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Chen, Hanfeng, Alexander Krolik, Erick Lavoie, and Laurie Hendren. "Automatic Vectorization for MATLAB." In Languages and Compilers for Parallel Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52709-3_14.

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Karrenberg, Ralf. "Whole-Function Vectorization." In Automatic SIMD Vectorization of SSA-based Control Flow Graphs. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-10113-8_6.

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Ayyasamy, Ramesh Kumar, Saadat M. Alhashmi, Siew Eu-Gene, and Bashar Tahayna. "Enhancing Automatic Blog Classification Using Concept-Category Vectorization." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25661-5_61.

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Egunov, V. A., and Alla G. Kravets. "The New Method for Automatic Vectorization Efficiency Increasing." In Studies in Systems, Decision and Control. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-67685-7_14.

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Germain, Cécile, and Franck Delaplace. "Automatic vectorization of communications for data-parallel programs." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/bfb0020483.

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Karrenberg, Ralf. "Introduction." In Automatic SIMD Vectorization of SSA-based Control Flow Graphs. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-10113-8_1.

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Karrenberg, Ralf. "Foundations & Terminology." In Automatic SIMD Vectorization of SSA-based Control Flow Graphs. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-10113-8_2.

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Karrenberg, Ralf. "Overview." In Automatic SIMD Vectorization of SSA-based Control Flow Graphs. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-10113-8_3.

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Karrenberg, Ralf. "Related Work." In Automatic SIMD Vectorization of SSA-based Control Flow Graphs. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-10113-8_4.

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Karrenberg, Ralf. "SIMD Property Analyses." In Automatic SIMD Vectorization of SSA-based Control Flow Graphs. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-10113-8_5.

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Conference papers on the topic "Automatic Vectorization"

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Minnegalieva, Chulpan, and Syumbel Ziyatdinova. "Automated Analysis of Short Answers Using Text Vectorization." In 2025 XXVIII International Conference on Soft Computing and Measurements (SCM). IEEE, 2025. https://doi.org/10.1109/scm66446.2025.11060299.

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Yedlapalli, Praveen, Jagadish Kotra, Emre Kultursay, Mahmut Kandemir, Chita R. Das, and Anand Sivasubramaniam. "Automatic vectorization of tree traversals." In 22nd International Conference on Parallel Architectures and Compilation Techniques (PACT). IEEE, 2013. http://dx.doi.org/10.1109/pact.2013.6618825.

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Petersen, Leaf, Dominic Orchard, and Neal Glew. "Automatic SIMD vectorization for Haskell." In ICFP'13: ACM SIGPLAN International Conference on Functional Programming. ACM, 2013. http://dx.doi.org/10.1145/2500365.2500605.

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Porpodas, Vasileios, Alberto Magni, and Timothy M. Jones. "PSLP: Padded SLP automatic vectorization." In 2015 IEEE/ACM International Symposium on Code Generation and Optimization (CGO). IEEE, 2015. http://dx.doi.org/10.1109/cgo.2015.7054199.

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Darnell, Ervan, John M. Mellor-Crummey, and Ken Kennedy. "Automatic software cache coherence through vectorization." In the 6th international conference. ACM Press, 1992. http://dx.doi.org/10.1145/143369.143398.

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Nakamura, Takashi, Satoshi Miki, and Shuichi Oikawa. "Automatic Vectorization by Runtime Binary Translation." In 2011 Second International Conference on Networking and Computing (ICNC). IEEE, 2011. http://dx.doi.org/10.1109/icnc.2011.21.

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Porpodas, Vasileios, and Timothy M. Jones. "Throttling Automatic Vectorization: When Less is More." In 2015 International Conference on Parallel Architecture and Compilation (PACT). IEEE, 2015. http://dx.doi.org/10.1109/pact.2015.32.

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Shou, Yixin, and Robert A. van Engelen. "Automatic SIMD vectorization of chains of recurrences." In the 22nd annual international conference. ACM Press, 2008. http://dx.doi.org/10.1145/1375527.1375564.

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Levesque, John M. "HOW TO OPTIMIZE A PROBLEM USING “AUTOMATIC VECTORIZATION”." In SAE International Congress and Exposition. SAE International, 1988. http://dx.doi.org/10.4271/881819.

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Dai, Wen, Tao Luo, and Jianbing Shen. "Automatic image vectorization using superpixels and random walkers." In 2013 6th International Congress on Image and Signal Processing (CISP). IEEE, 2013. http://dx.doi.org/10.1109/cisp.2013.6745296.

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