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Relevant bibliographies by topics / Parallel and distributed multi-Level programming

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Journal articles
Dissertations / Theses
Book chapters
Conference papers
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Academic literature on the topic 'Parallel and distributed multi-Level programming'

Author: Grafiati

Published: 12 October 2024

Last updated: 31 July 2025

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Journal articles on the topic "Parallel and distributed multi-Level programming"

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Yanhaona, Muhammad Nur, Andrew Grimshaw, and Shahriar Hasan Mickey. "HighP5: Programming using Partitioned Parallel Processing Spaces." Journal of the Brazilian Computer Society 30, no. 1 (2024): 653–87. https://doi.org/10.5753/jbcs.2024.4345.

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HighP5 is a new high-level parallel programming language designed to help software developers to achieve three objectives simultaneously: programmer productivity, program portability, and superior program performance. HighP5 enables this by fostering a new programming paradigm that we call hardware-cognizant parallel programming. The paradigm uses a uniform hardware abstraction and a declarative programming syntax to allow programmers to write hardware feature-sensitive efficient programs without delving into the detail of those feature implementations. This paper is the first comprehensive de

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Zhunissov, N. M., A. T. Bayaly, and E. T. Satybaldy. "THE POSSIBILITIES OF USING PARALLEL PROGRAMMING USING PYTHON." Q A Iasaýı atyndaǵy Halyqaralyq qazaq-túrіk ýnıversıtetіnіń habarlary (fızıka matematıka ınformatıka serııasy) 28, no. 1 (2024): 105–14. http://dx.doi.org/10.47526/2024-1/2524-0080.09.

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This article explores the development of parallel software applications using the Python programming language. Parallel programming is becoming increasingly important in the information technology world as multi-core processors and distributed computing become more common. Python provides developers with a variety of tools and libraries for creating parallel applications, including threads, processes, and asynchronous programming. This topic covers the basics of parallel programming in Python, including the principles of thread and process management, error handling, synchronization mechanisms

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Youssef, Bassil. "Implementation of Computational Algorithms using Parallel Programming." International Journal of Trend in Scientific Research and Development 3, no. 3 (2019): 704–10. https://doi.org/10.31142/ijtsrd22947.

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Parallel computing is a type of computation in which many processing are performed concurrently often by dividing large problems into smaller ones that execute independently of each other. There are several different types of parallel computing. The first one is the shared memory architecture which harnesses the power of multiple processors and multiple cores on a single machine and uses threads of programs and shared memory to exchange data. The second type of parallel computing is the distributed architecture which harnesses the power of multiple machines in a networked environment and uses

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Deshpande, Ashish, and Martin Schultz. "Efficient Parallel Programming with Linda." Scientific Programming 1, no. 2 (1992): 177–83. http://dx.doi.org/10.1155/1992/829092.

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Linda is a coordination language inverted by David Gelernter at Yale University, which when combined with a computation language (like C) yields a high-level parallel programming language for MIMD machines. Linda is based on a virtual shared associative memory containing objects called tuples. Skeptics have long claimed that Linda programs could not be efficient on distributed memory architectures. In this paper, we address this claim by discussing C-Linda's performance in solving a particular scientific computing problem, the shallow water equations, and make comparisons with alternatives ava

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RAUBER, THOMAS, and GUDULA RÜNGER. "A DATA RE-DISTRIBUTION LIBRARY FOR MULTI-PROCESSOR TASK PROGRAMMING." International Journal of Foundations of Computer Science 17, no. 02 (2006): 251–70. http://dx.doi.org/10.1142/s0129054106003814.

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Multiprocessor task (M-task) programming is a suitable parallel programming model for coding application problems with an inherent modular structure. An M-task can be executed on a group of processors of arbitrary size, concurrently to other M-tasks of the same application program. The data of a multiprocessor task program usually include composed data structures, like vectors or arrays. For distributed memory machines or cluster platforms, those composed data structures are distributed within one or more processor groups. Thus, a concise parallel programming model for M-tasks requires a stand

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Aversa, R., B. Di Martino, N. Mazzocca, and S. Venticinque. "A Skeleton Based Programming Paradigm for Mobile Multi-Agents on Distributed Systems and Its Realization within the MAGDA Mobile Agents Platform." Mobile Information Systems 4, no. 2 (2008): 131–46. http://dx.doi.org/10.1155/2008/745406.

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Parallel programming effort can be reduced by using high level constructs such as algorithmic skeletons. Within the MAGDA toolset, supporting programming and execution of mobile agent based distributed applications, we provide a skeleton-based parallel programming environment, based on specialization of Algorithmic Skeleton Java interfaces and classes. Their implementation include mobile agent features for execution on heterogeneous systems, such as clusters of WSs and PCs, and support reliability and dynamic workload balancing. The user can thus develop a parallel, mobile agent based applicat

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Wan, Xijun. "Research Overview of Intelligent Computing Platform Technology." Applied and Computational Engineering 151, no. 1 (2025): 41–50. https://doi.org/10.54254/2755-2721/2025.22841.

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With the explosive growth of data and the increasing complexity of computing tasks, traditional computing models can no longer meet the demands. Parallel and distributed processing technologies have become key forces driving innovation in information technology. This paper reviews the research progress of intelligent computing platform technologies, focusing on parallel processing and distributed processing technologies. It primarily examines the basic principles and applications of multi-core processor technology, large-scale parallel algorithms, parallel programming, industrial computer netw

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Gorodnyaya, Lidia. "FUNCTIONAL PROGRAMMING FOR PARALLEL COMPUTING." Bulletin of the Novosibirsk Computing Center. Series: Computer Science, no. 45 (2021): 29–48. http://dx.doi.org/10.31144/bncc.cs.2542-1972.2021.n45.p29-48.

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The paper is devoted to modern trends in the application of functional programming to the problems of organizing parallel computations. Functional programming is considered as a meta-paradigm for solving the problems of developing multi-threaded programs for multiprocessor complexes and distributed systems, as well as for solving the problems associated with rapid IT development. The semantic and pragmatic principles of functional programming and consequences of these principles are described. The paradigm analysis of programming languages and systems is used, which allows assessing their simi

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Spahi, Enis, and D. Altilar. "ITU-PRP: Parallel and Distributed Computing Middleware for Java Developers." International Journal of Business & Technology 3, no. 1 (2014): 2–13. http://dx.doi.org/10.33107/ijbte.2014.3.1.01.

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ITU-PRP provides a Parallel Programming Framework for Java Developers on which they can adapt their sequential application code to operate on a distributed multi-host parallel environment. Developers would implement parallel models, such as Loop Parallelism, Divide and Conquer, Master-Slave and Fork-Join by the help of an API Library provided under framework. Produced parallel applications would be submitted to a middleware called Parallel Running Platform (PRP), on which parallel resources for parallel processing are being organized and performed. The middleware creates Task Plans (TP) accord

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Городняя, Лидия Васильевна. "Perspectives of Functional Programming of Parallel Computations." Russian Digital Libraries Journal 24, no. 6 (2022): 1090–116. http://dx.doi.org/10.26907/1562-5419-2021-24-6-1090-1116.

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The article is devoted to the results of the analysis of modern trends in functional programming, considered as a metaparadigm for solving the problems of organizing parallel computations and multithreaded programs for multiprocessor complexes and distributed systems. Taking into account the multi-paradigm nature of parallel programming, the paradigm analysis of languages and functional programming systems is used. This makes it possible to reduce the complexity of the problems being solved by methods of decomposition of programs into autonomously developed components, to evaluate their simila

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Dissertations / Theses on the topic "Parallel and distributed multi-Level programming"

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Djemame, Karim. "Distributed simulation of high-level algebraic Petri nets." Thesis, University of Glasgow, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301624.

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Saifi, Mohamad Maamoun El. "PMPI: uma implementação MPI multi-plataforma, multi-linguagem." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-08122006-154811/.

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Esta dissertação apresenta o PMPI, uma implementação do padrão MPI em plataformas heterogêneas. Diferentemente de outras implementações de MPI, o PMPI permite que a aplicação paralela seja realizada num sistema multi-plataforma, e que programas em linguagens de programação diferentes participem da mesma computação. PMPI é construído sobre o Dotnet Framework. Com o PMPI, os nós de processamento chamam funções MPI que são executadas transparentemente em outros nós participantes da computação paralela pela rede de comunicação. O PMPI pode atravessar múltiplos domínios administrativos distribuídos

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Xirogiannis, George. "Execution of Prolog by transformations on distributed memory multi-processors." Thesis, Heriot-Watt University, 1998. http://hdl.handle.net/10399/639.

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Morgadinho, Nuno Eduardo Quaresma. "Distributed multi-threading in GNU prolog." Master's thesis, Universidade de Évora, 2007. http://hdl.handle.net/10174/16496.

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Embora a computação paralela já tenha sido alvo de inúmeros estudos, o processo de a tornar acessível as massas ainda mal começou. Através da combinação com o Prolog de um ambiente de programação distribuída e multithreaded, como o PM2, torna-se possível ter computações paralelas e concorrentes usando programação em logica. Com este objetivo foi desenvolvido o PM2-Prolog, um interface Prolog para o sistema PM2. Tal sistema permite correr aplicações Prolog multithreaded em múltiplas instâncias do GNU Prolog num ambiente distribuído, tirando, assim, partido dos recursos disponíveis nos computado

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Samson, Rodelyn Reyes. "A multi-agent architecture for internet distributed computing system." CSUSB ScholarWorks, 2003. https://scholarworks.lib.csusb.edu/etd-project/2408.

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This thesis presents the developed taxonomy of the agent-based distributed computing systems. Based on this taxonomy, a design, implementation, analysis and distribution protocol of a multi-agent architecture for internet-based distributed computing system was developed. A prototype of the designed architecture was implemented on Spider III using the IBM Aglets software development kit (ASDK 2.0) and the language Java.

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Ruan, Jianhua, Han-Shen Yuh, and Koping Wang. "Spider III: A multi-agent-based distributed computing system." CSUSB ScholarWorks, 2002. https://scholarworks.lib.csusb.edu/etd-project/2249.

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The project, Spider III, presents architecture and protocol of a multi-agent-based internet distributed computing system, which provides a convenient development and execution environment for transparent task distribution, load balancing, and fault tolerance. Spider is an on going distribution computing project in the Department of Computer Science, California State University San Bernardino. It was first proposed as an object-oriented distributed system by Han-Sheng Yuh in his master's thesis in 1997. It has been further developed by Koping Wang in his master's project, of where he made large

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Gurhem, Jérôme. "Paradigmes de programmation répartie et parallèle utilisant des graphes de tâches pour supercalculateurs post-pétascale." Thesis, Lille, 2021. http://www.theses.fr/2021LILUI005.

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Depuis le milieu des années 1990, les bibliothèques de transmission de messages sont les technologies les plus utilisées pour développer des applications parallèles et distribuées. Des modèles de programmation basés sur des tâches peuvent être utilisés, par exemple, pour éviter les communications collectives sur toutes les ressources comme les réductions, les diffusions ou les rassemblements en les transformant en multiples opérations avec des tâches. Ensuite, ces opérations peuvent être planifiées par l'ordonnanceur pour placer les données et les calculs de manière à optimiser et réduire les

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Moukir, Sara. "High performance analysis for road traffic control." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASG039.

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La réduction des temps de trajet et de la consommation d'énergie dans les réseaux routiers urbains est cruciale pour le bien-être collectif et la durabilité environnementale. Depuis les années 1950, la modélisation du trafic a été un axe central de la recherche. Avec l'évolution des capacités informatiques, des simulations sophistiquées représentant fidèlement les complexités du trafic routier ont émergé, essentielles pour évaluer les technologies sans perturber le trafic réel.Les systèmes de transport deviennent plus complexes avec des informations en temps réel, nécessitant des modèles de si

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Adornes, Daniel Couto. "A unified mapreduce programming interface for multi-core and distributed architectures." Pontif?cia Universidade Cat?lica do Rio Grande do Sul, 2015. http://tede2.pucrs.br/tede2/handle/tede/6782.

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Submitted by Setor de Tratamento da Informa??o - BC/PUCRS (tede2@pucrs.br) on 2016-06-22T19:44:58Z No. of bitstreams: 1 DIS_DANIEL_COUTO_ADORNES_COMPLETO.pdf: 1894086 bytes, checksum: f87c59fa92f43ed62efaafd9c724ed8d (MD5)<br>Made available in DSpace on 2016-06-22T19:44:58Z (GMT). No. of bitstreams: 1 DIS_DANIEL_COUTO_ADORNES_COMPLETO.pdf: 1894086 bytes, checksum: f87c59fa92f43ed62efaafd9c724ed8d (MD5) Previous issue date: 2015-03-31<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - CAPES<br>In order to improve performance, simplicity and scalability of large datasets processi

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McCall, Andrew James. "Multi-level Parallelism with MPI and OpenACC for CFD Applications." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78203.

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High-level parallel programming approaches, such as OpenACC, have recently become popular in complex fluid dynamics research since they are cross-platform and easy to implement. OpenACC is a directive-based programming model that, unlike low-level programming models, abstracts the details of implementation on the GPU. Although OpenACC generally limits the performance of the GPU, this model significantly reduces the work required to port an existing code to any accelerator platform, including GPUs. The purpose of this research is twofold: to investigate the effectiveness of OpenACC in developi

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Book chapters on the topic "Parallel and distributed multi-Level programming"

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Bruce Irvin, R., and Barton P. Miller. "A Performance Tool for High-Level Parallel Programming Languages." In Programming Environments for Massively Parallel Distributed Systems. Birkhäuser Basel, 1994. http://dx.doi.org/10.1007/978-3-0348-8534-8_30.

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Hofstee, H. Peter, Johan J. Lukkien, and Jan L. A. Snepscheut. "A distributed implementation of a task pool." In Reasearch Directions in High-Level Parallel Programming Languages. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55160-3_54.

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Faasen, Craig. "Intermediate uniformly distributed tuple space on transputer meshes." In Reasearch Directions in High-Level Parallel Programming Languages. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55160-3_41.

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Sakagami, Hitoshi. "Three-Dimensional Fluid Code with XcalableMP." In XcalableMP PGAS Programming Language. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7683-6_6.

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AbstractIn order to adapt parallel computers to general convenient tools for computational scientists, a high-level and easy-to-use portable parallel programming paradigm is mandatory. XcalableMP, which is proposed by the XcalableMP Specification Working Group, is a directive-based language extension for Fortran and C to easily describe parallelization in programs for distributed memory parallel computers. The Omni XcalableMP compiler, which is provided as a reference XcalableMP compiler, is currently implemented as a source-to-source translator. It converts XcalableMP programs to standard MPI

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Rastogi, Rajeev, Philip Bohannon, James Parker, Avi Silberschatz, S. Seshadri, and S. Sudarshan. "Distributed Multi-Level Recovery in Main-Memory Databases." In Parallel and Distributed Information Systems. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-6132-0_3.

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Dib, Djawida, Nikos Parlavantzas, and Christine Morin. "Towards Multi-level Adaptation for Distributed Operating Systems and Applications." In Algorithms and Architectures for Parallel Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33065-0_11.

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Protze, Joachim, Miwako Tsuji, Christian Terboven, et al. "MYX: Runtime Correctness Analysis for Multi-Level Parallel Programming Paradigms." In Software for Exascale Computing - SPPEXA 2016-2019. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47956-5_18.

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Jung, Yu-Jin, and Yong-Ik Yoon. "Flexible Multi-level Regression Model for Prediction of Pedestrian Abnormal Behavior." In Advances in Parallel and Distributed Computing and Ubiquitous Services. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0068-3_17.

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Yu, Yang, Laksono Kurnianggoro, Wahyono, and Kang-Hyun Jo. "Online Programming Design of Distributed System Based on Multi-level Storage." In Intelligent Computing Methodologies. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42297-8_69.

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Spinelli, Stefano. "Optimal Management and Control of Smart Thermal-Energy Grids." In Special Topics in Information Technology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85918-3_2.

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AbstractThis work deals with the development of novel algorithms and methodologies for the optimal management and control of thermal and electrical energy units operating in a networked configuration. The aim of the work is to foster the creation of a smart thermal-energy grid (smart-TEG), by providing supporting tools for the modeling of subsystems and their optimal control and coordination. A hierarchical scheme is proposed to optimally address the management and control issues of the smart-TEG. Different methods are adopted to deal with the features of the specific generation units involved

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Conference papers on the topic "Parallel and distributed multi-Level programming"

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Piao, XinYu, JooYong Shim, Joongheon Kim, and Jong-Kook Kim. "AQUA: Hardware-Agnostic Qubit Allocation for Quantum Multi-Programming." In 2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE, 2025. https://doi.org/10.1109/ipdps64566.2025.00022.

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Fan, Xiaoyu, Kun Chen, Guosai Wang, et al. "Pair-Then-Aggregate: Simplified and Efficient Parallel Programming Paradigm for Secure Multi-Party Computation." In 2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE, 2025. https://doi.org/10.1109/ipdps64566.2025.00062.

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Yuan, Zecheng, Min Luo, Cong Peng, and Qin Liu. "CMAE-MTC: A Contextual Masked AutoEncoder Based Multi-Level Traffic Classifier." In 2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA). IEEE, 2024. https://doi.org/10.1109/ispa63168.2024.00147.

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Wei, Xin, and Xin Li. "MLF: Multi-level forwarding based on EdgeMesh in edge computing environment." In 2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA). IEEE, 2024. https://doi.org/10.1109/ispa63168.2024.00266.

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Steuwer, Michel, Philipp Kegel, and Sergei Gorlatch. "Towards High-Level Programming of Multi-GPU Systems Using the SkelCL Library." In 2012 26th IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2012. http://dx.doi.org/10.1109/ipdpsw.2012.229.

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Yi Pan. "High-level vs low-level parallel programming for scientific computing." In Proceedings 16th International Parallel and Distributed Processing Symposium. IPDPS 2002. IEEE, 2002. http://dx.doi.org/10.1109/ipdps.2002.1016644.

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Jungblut, Pascal, and Dieter Kranzlmuller. "Optimal Schedules for High-Level Programming Environments on FPGAs with Constraint Programming." In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2022. http://dx.doi.org/10.1109/ipdpsw55747.2022.00025.

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Brady, T., E. Konstantinov, and A. Lastovetsky. "SmartNetSolve: high-level programming system for high performance grid computing." In Proceedings 20th IEEE International Parallel & Distributed Processing Symposium. IEEE, 2006. http://dx.doi.org/10.1109/ipdps.2006.1639660.

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Isard, Michael, and Yuan Yu. "Distributed data-parallel computing using a high-level programming language." In the 35th SIGMOD international conference. ACM Press, 2009. http://dx.doi.org/10.1145/1559845.1559962.

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Chiang, Chia-Chu. "Low-level language constructs considered harmful for distributed parallel programming." In the 42nd annual Southeast regional conference. ACM Press, 2004. http://dx.doi.org/10.1145/986537.986603.

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Reports on the topic "Parallel and distributed multi-Level programming"

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Amela, R., R. Badia, S. Böhm, R. Tosi, C. Soriano, and R. Rossi. D4.2 Profiling report of the partner’s tools, complete with performance suggestions. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.023.

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This deliverable focuses on the proling activities developed in the project with the partner's applications. To perform this proling activities, a couple of benchmarks were dened in collaboration with WP5. The rst benchmark is an embarrassingly parallel benchmark that performs a read and then multiple writes of the same object, with the objective of stressing the memory and storage systems and evaluate the overhead when these reads and writes are performed in parallel. A second benchmark is dened based on the Continuation Multi Level Monte Carlo (C-MLMC) algorithm. While this algorithm is norm

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