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Relevant bibliographies by topics / Parallel asynchronous iterative algorithms

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Academic literature on the topic 'Parallel asynchronous iterative algorithms'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Parallel asynchronous iterative algorithms"

1

Bahi, J. M., S. Contassot-Vivier, R. Couturier, and F. Vernier. "A decentralized convergence detection algorithm for asynchronous parallel iterative algorithms." IEEE Transactions on Parallel and Distributed Systems 16, no. 1 (2005): 4–13. http://dx.doi.org/10.1109/tpds.2005.2.

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Collignon, TP, and MB van Gijzen. "Fast iterative solution of large sparse linear systems on geographically separated clusters." International Journal of High Performance Computing Applications 25, no. 4 (2011): 440–50. http://dx.doi.org/10.1177/1094342010388541.

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Parallel asynchronous iterative algorithms exhibit features that are extremely well-suited for Grid computing, such as lack of synchronization points. Unfortunately, they also suffer from slow convergence rates. In this paper we propose using asynchronous methods as a coarse-grained preconditioner in a flexible iterative method, where the preconditioner is allowed to change in each iteration step. A full implementation of the algorithm is presented using Grid middleware that allows for both synchronous and asynchronous communication. Advantages and disadvantages of the approach are discussed.

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Daggitt, Matthew L., Ran Zmigrod, and Timothy G. Griffin. "A Relaxation of Üresin and Dubois’ Asynchronous Fixed-Point Theory in Agda." Journal of Automated Reasoning 64, no. 5 (2019): 857–77. http://dx.doi.org/10.1007/s10817-019-09536-w.

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AbstractÜresin and Dubois’ paper “Parallel Asynchronous Algorithms for Discrete Data” shows how a class of synchronous iterative algorithms may be transformed into asynchronous iterative algorithms. They then prove that the correctness of the resulting asynchronous algorithm can be guaranteed by reasoning about the synchronous algorithm alone. These results have been used to prove the correctness of various distributed algorithms, including in the fields of routing, numerical analysis and peer-to-peer protocols. In this paper we demonstrate several ways in which the assumptions that underlie t

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Chau, M., R. Couturier, J. Bahi, and P. Spiteri. "Parallel solution of the obstacle problem in Grid environments." International Journal of High Performance Computing Applications 25, no. 4 (2011): 488–95. http://dx.doi.org/10.1177/1094342010395412.

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The present study deals with the solution of the obstacle problem defined in a three-dimensional domain. In order to solve a large-scale obstacle problem, the use of parallelism is necessary. In this work we present a parallel synchronous iterative algorithm to solve this problem and its asynchronous version. For the considered problem, the convergence of parallel synchronous and asynchronous algorithms is analysed in a general framework. Finally, computational experiments on GRID’5000, the French national grid, are presented and analysed. They allow us to compare both synchronous and asynchro

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BAHI, JACQUES M., RAPHAËL COUTURIER, and PHILIPPE VUILLEMIN. "SOLVING NONLINEAR WAVE EQUATIONS IN THE GRID COMPUTING ENVIRONMENT: AN EXPERIMENTAL STUDY." Journal of Computational Acoustics 14, no. 01 (2006): 113–30. http://dx.doi.org/10.1142/s0218396x06002949.

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In this paper we are interested in studying the development of parallel algorithms to solve nonlinear wave equations. Both synchronous and asynchronous algorithms contexts are considered. The solver is based on the multisplitting Newton method that provides a coarse-grained scheme. Experiments are carried out in both homogeneous and heterogeneous grid environments. According to the configuration environment, the behaviors of parallel synchronous and asynchronous algorithms are analyzed. Experiments allow us to draw some conclusions about the use of parallel iterative algorithms in grid computi

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Geiser, Jürgen, Eulalia Martínez, and Jose L. Hueso. "Serial and Parallel Iterative Splitting Methods: Algorithms and Applications to Fractional Convection-Diffusion Equations." Mathematics 8, no. 11 (2020): 1950. http://dx.doi.org/10.3390/math8111950.

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The benefits and properties of iterative splitting methods, which are based on serial versions, have been studied in recent years, this work, we extend the iterative splitting methods to novel classes of parallel versions to solve nonlinear fractional convection-diffusion equations. For such interesting partial differential examples with higher dimensional, fractional, and nonlinear terms, we could apply the parallel iterative splitting methods, which allow for accelerating the solver methods and reduce the computational time. Here, we could apply the benefits of the higher accuracy of the ite

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Deák, István. "Iteration grain sized asynchronous parallel algorithms in optimization." International Journal of Computer Mathematics 71, no. 2 (1999): 183–96. http://dx.doi.org/10.1080/00207169908804802.

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Robin, F., G. Privat, and M. Renaudin. "Asynchronous Relaxation of Morphological Operators: A Joint Algorithm-Architecture Perspective." International Journal of Pattern Recognition and Artificial Intelligence 11, no. 07 (1997): 1085–94. http://dx.doi.org/10.1142/s0218001497000494.

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Asynchronous dynamics are introduced for the iterative computation of morphological image filters. We propose a fine-grain asynchronous algorithmic- architectural model that exploits these new possibilities to improve the convergence efficiency of such operators over standard sequential-recursive or parallel-synchronous update modes. We conclude with VLSI design perspectives and show how asynchronism can be exploited both at functional and architectural levels.

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Hoagland, Dylan S., and Yousry Y. Azmy. "PARAMETRIC STUDY OF PARALLEL BLOCK JACOBI / SOURCE ITERATION HYBRID METHODS IN 2-D CARTESIAN GEOMETRY AND CONSTRUCTION OF THE INTEGRAL TRANSPORT MATRIX METHOD MATRICES VIA GREEN’S FUNCTIONS." EPJ Web of Conferences 247 (2021): 03017. http://dx.doi.org/10.1051/epjconf/202124703017.

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Parallel Block Jacobi (PBJ) [1] is an asynchronous spatial domain decomposition with application in solving the neutron transport equation due to its extendibility to massively parallel solution in unstructured spatial meshes (grids) without the use of the computationally complex and expensive sweeps required by the Source Iteration (SI) method in these applications. [2] However, PBJ iterative methods suffer a lack of iterative robustness in problems with optically thin cells, [1] which we have previously demonstrated to be a consequence of PBJ’s asynchronicity. To mitigate this effect, we hav

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Huber, Markus, Ulrich Rüde, and Barbara Wohlmuth. "Adaptive control in roll-forward recovery for extreme scale multigrid." International Journal of High Performance Computing Applications 33, no. 5 (2018): 817–37. http://dx.doi.org/10.1177/1094342018817088.

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With the increasing number of compute components, failures in future exa-scale computer systems are expected to become more frequent. This motivates the study of novel resilience techniques. Here, we extend a recently proposed algorithm-based recovery method for multigrid iterations by introducing an adaptive control. After a fault, the healthy part of the system continues the iterative solution process, while the solution in the faulty domain is reconstructed by an asynchronous online recovery. The computations in both the faulty and the healthy subdomains must be coordinated in a sensitive w

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Dissertations / Theses on the topic "Parallel asynchronous iterative algorithms"

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Miquée, Sébastien. "Exécution d'applications parallèles en environnements hétérogènes et volatils : déploiement et virtualisation." Phd thesis, Université de Franche-Comté, 2012. http://tel.archives-ouvertes.fr/tel-00979300.

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La technologie actuelle permet aux scientifiques de divers domaines d'obtenir des données de plus en plus précises et volumineuses, Afin de résoudre ces problèmes associés à l'obtention de ces données, les architectures de calcul évoluent, en fournissant toujours plus de ressources, notamment grâce à des machines plus puissantes et à leur mutualisation. Dans cette thèse, nous proposons d'étudier dans un premier temps le placement des tâches d'applications itératives asynchrones dans des environnements hétérogènes et volatils. Notre solution nous permet également de s'affranchir de l(hétérogéné

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Ghanemi, Salim. "Non-numerical parallel algorithms for asynchronous parallel computer systems." Thesis, Loughborough University, 1987. https://dspace.lboro.ac.uk/2134/28016.

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The work in this thesis covers mainly the design and analysis of many important Non-Numerical Parallel Algorithms that run on MIMD type Parallel Computer Systems (PCSs), in particular the NEPTUNE and the SEQUENT BALANCE 8000 PCSs available at Loughborough University of Technology.

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Santini, Marie. "Analysis of asynchronous iterative algorithms using timed Petri nets." Thesis, University of Salford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360405.

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Mahawar, Hemant. "Parallel algorithms for inductance extraction." Texas A&M University, 2003. http://hdl.handle.net/1969.1/5930.

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In VLSI circuits, signal delays play an important role in design, timing verification and signal integrity checks. These delays are attributed to the presence of parasitic resistance, capacitance and inductance. With increasing clock speed and reducing feature sizes, these delays will be dominated by parasitic inductance. In the next generation VLSI circuits, with more than millions of components and interconnect segments, fast and accurate inductance estimation becomes a crucial step. A generalized approach for inductance extraction requires the solution of a large, dense, complex linear syst

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Kim, Jinwoo. "Hierarchical asynchronous genetic algorithms for parallel/distributed simulation-based optimization." Diss., The University of Arizona, 1994. http://hdl.handle.net/10150/186831.

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The objective of this dissertation is to develop a multi-resolution optimization strategy based on the evolution algorithms in the parallel/distributed simulation environment. The system architecture is constructed hierarchically with multiple clusters which consist of an expert system (controller) and set of genetic algorithm optimizers (agents). We propose an asynchronous genetic algorithm (AGA) which continuously updates the population in parallel genetic algorithms. Asynchronous evaluation of population in a parallel computer improves the utilization of the processors and reduces search ti

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Aytekin, Arda. "Asynchronous Algorithms for Large-Scale Optimization : Analysis and Implementation." Licentiate thesis, KTH, Reglerteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-203812.

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This thesis proposes and analyzes several first-order methods for convex optimization, designed for parallel implementation in shared and distributed memory architectures. The theoretical focus is on designing algorithms that can run asynchronously, allowing computing nodes to execute their tasks with stale information without jeopardizing convergence to the optimal solution. The first part of the thesis focuses on shared memory architectures. We propose and analyze a family of algorithms to solve an unconstrained, smooth optimization problem consisting of a large number of component functions

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Leland, Robert William. "The effectiveness of parallel iterative algorithms for solution of large sparse linear systems." Thesis, University of Oxford, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.256565.

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Zhang, Hanyu. "Méthodes itératives à retard pour architecture massivement parallèles." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLC068.

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Avec l'avènement de machine parallèles multi-coeurs, de nombreux algorithmes doivent être modifiés ou conçus pour s'adapter à ces architectures. Ces algorithmes consistent pour la plupart à diviser le problème original en plusieurs petits sous-problèmes et à les distribuer sur les différentes unités de calcul disponibles. La résolution de ces petits sous-problèmes peut être exécutée en parallèle, des communications entre les unités de calcul étant indispensables pour assurer la convergence de ces méthodes.Ma thèse propose de nouveaux algorithmes parallèles pour résoudre de grands systèmes liné

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Damp, Lloyd Hollis. "Multi-Objective and Multidisciplinary Design Optimisation of Unmanned Aerial Vehicle Systems using Hierarchical Asynchronous Parallel Multi-Objective Evolutionary Algorithms." University of Sydney, 2007. http://hdl.handle.net/2123/1858.

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Master of Engineering (Research)<br>The overall objective of this research was to realise the practical application of Hierarchical Asynchronous Parallel Evolutionary Algorithms for Multi-objective and Multidisciplinary Design Optimisation (MDO) of UAV Systems using high fidelity analysis tools. The research looked at the assumed aerodynamics and structures of two production UAV wings and attempted to optimise these wings in isolation to the rest of the vehicle. The project was sponsored by the Asian Office of the Air Force Office of Scientific Research under contract number AOARD-044078. The

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Joseph, P. J. "A Study of the Performance Benefits of Controlling Parallel Asynochrous Iteractive Applications." Thesis, Indian Institute of Science, 1997. http://hdl.handle.net/2005/84.

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High performance networks of workstation are becoming increasingly popular a parallel computing platform because of their lower cost. Both message passing and software distributed shared memory (DSM) programming paradigms have been developed and employed on such distributed hardware platforms. An important performance bottleneck in these systems is the effective data transmission latency, which is poorer than in high-speed parallel computer interconnection networks. Iterative algorithms are used in a large class of applications like solution of partial algorithms are used, optimization problem

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Books on the topic "Parallel asynchronous iterative algorithms"

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Bahi, Jacques Mohcine. Parallel iterative algorithms: From sequential to grid computing. Chapman & Hall/CRC, 2008.

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Ghanemi, S. Non-numerical parallel algorithms for asynchronous parallel computer systems. 1987.

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Iterative Receiver Design. Cambridge University Press, 2007.

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4

Institute for Computer Applications in Science and Engineering., ed. An iterative method for systems of nonlinear hyperbolic equations. National Aeronautics and Space Administration, Langley Research Center, Institute for Computer Applications in Science and Engineering, 1989.

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Parallel Iterative Algorithms: From Sequential to Grid Computing (Chapman & Hall/Crc Numerical Analy & Scient Comp. Series). Chapman & Hall/CRC, 2007.

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Book chapters on the topic "Parallel asynchronous iterative algorithms"

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Karmani, Rajesh K., Gul Agha, Mark S. Squillante, et al. "Asynchronous Iterative Algorithms." In Encyclopedia of Parallel Computing. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-09766-4_231.

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Karmani, Rajesh K., Gul Agha, Mark S. Squillante, et al. "Asynchronous Iterative Computations." In Encyclopedia of Parallel Computing. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-09766-4_2279.

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Roosta, Seyed H. "Asynchronous Parallel Programming." In Parallel Processing and Parallel Algorithms. Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1220-1_10.

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Barán, Benjamín. "Parallel Asynchronous Team Algorithms." In Applied Optimization. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3609-0_9.

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Meng, Teresa H. Y. "Design of Asynchronous Parallel Architectures." In Parallel Algorithms and Architectures for DSP Applications. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3996-4_8.

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Rüde, Ulrich. "Iterative algorithms on high performance architectures." In Euro-Par'97 Parallel Processing. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0002717.

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Sarrafzadeh, M., A. K. Katsaggelos, and S. P. R. Kumar. "Parallel Architectures For Iterative Image Restoration." In Parallel Algorithms and Architectures for DSP Applications. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3996-4_1.

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Bruin, A., G. A. P. Kindervater, and H. W. J. M. Trienekens. "Asynchronous parallel branch and bound and anomalies." In Parallel Algorithms for Irregularly Structured Problems. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60321-2_29.

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Anzt, Hartwig, Piotr Luszczek, Jack Dongarra, and Vincent Heuveline. "GPU-Accelerated Asynchronous Error Correction for Mixed Precision Iterative Refinement." In Euro-Par 2012 Parallel Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32820-6_89.

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Alba, Enrique, Mario Giacobini, Marco Tomassini, and Sergio Romero. "Comparing Synchronous and Asynchronous Cellular Genetic Algorithms." In Parallel Problem Solving from Nature — PPSN VII. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45712-7_58.

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Conference papers on the topic "Parallel asynchronous iterative algorithms"

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Charr, Jean-Claude, Raphael Couturier, and David Laiymani. "Parallel numerical asynchronous iterative algorithms: Large scale experimentations." In Distributed Processing (IPDPS). IEEE, 2009. http://dx.doi.org/10.1109/ipdps.2009.5161158.

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Couturier, Raphael, and Stephane Domas. "CRAC: a Grid Environment to Solve Scientific Applications with Asynchronous Iterative Algorithms." In 2007 IEEE International Parallel and Distributed Processing Symposium. IEEE, 2007. http://dx.doi.org/10.1109/ipdps.2007.370568.

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Wenjing, Li, Yang Wen, and Li Shuju. "Chaotic Relaxation Asynchronous Iterative Parallel Algorithm and its Implementation." In 2011 Tenth International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES). IEEE, 2011. http://dx.doi.org/10.1109/dcabes.2011.28.

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El Baz, D. "Communication Study and Implementation Analysis of Parallel Asynchronous Iterative Algorithms on Message Passing Architectures." In 15th EUROMICRO International Conference on Parallel, Distributed and Network-Based Processing (PDP'07). IEEE, 2007. http://dx.doi.org/10.1109/pdp.2007.31.

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Martin, Matthew A., Alex R. Bertels, and Daniel R. Tauritz. "Asynchronous Parallel Evolutionary Algorithms." In GECCO '15: Genetic and Evolutionary Computation Conference. ACM, 2015. http://dx.doi.org/10.1145/2739482.2764718.

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Ramamonjisoa, Charles Emile, Lilia Ziane Khodja, David Laiymani, Arnaud Giersch, and Raphael Couturier. "Simulation of Asynchronous Iterative Algorithms Using SimGrid." In 2014 IEEE International Conference on High Performance Computing and Communications (HPCC), 2014 IEEE 6th International Symposium on Cyberspace Safety and Security (CSS) and 2014 IEEE 11th International Conference on Embedded Software and Systems (ICESS). IEEE, 2014. http://dx.doi.org/10.1109/hpcc.2014.155.

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Bertsekas, Dimitri P., and John N. Tsitsiklis. "Convergence rate and termination of asynchronous iterative algorithms." In the 3rd international conference. ACM Press, 1989. http://dx.doi.org/10.1145/318789.318894.

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Bahi, Jacques M., Raphael Couturier, David Laiymani, and Kamel Mazouzi. "Java and asynchronous iterative applications: large scale experiments." In 2007 IEEE International Parallel and Distributed Processing Symposium. IEEE, 2007. http://dx.doi.org/10.1109/ipdps.2007.370420.

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Greenberg, Albert G., Boris D. Lubachevsky, and Andrew M. Odlyzko. "Simple, efficient asynchronous parallel algorithms for maximization." In the fourth annual ACM symposium. ACM Press, 1985. http://dx.doi.org/10.1145/323596.323625.

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Unnikrishnan, Deepak, Sandesh Gubbi Virupaksha, Lekshmi Krishnan, Lixin Gao, and Russell Tessier. "Accelerating iterative algorithms with asynchronous accumulative updates on FPGAs." In 2013 International Conference on Field-Programmable Technology (FPT). IEEE, 2013. http://dx.doi.org/10.1109/fpt.2013.6718332.

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Reports on the topic "Parallel asynchronous iterative algorithms"

1

Neumann, Michael. Convergence and Performance of Synchronous and Asynchronous Parallel and Conventional Iterative Methods. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada207093.

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Smith, Sharon, Elizabeth Eskow, and Robert B. Schnabel. Adaptive, Asynchronous Stochastic Global Optimization Algorithms for Sequential and Parallel Computation. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada217093.

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Meyer, Gerard G., and Howard L. Weinert. Fault Tolerant Parallel Implementations of Iterative Algorithms for Optimal Control Problems. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada214786.

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Meyer, Gerard G., and Howard L. Weinert. Fault Tolerant Parallel Implementations of Iterative Algorithms for Optimal Control Problems. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada198041.

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