Concurrent Computing
Rajkumar Buyya, Christian Vecchiola, S. Thamarai Selvi et al. · Elsevier eBooks · 2013
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About 3,930 papers for “Concurrent computing”
Rajkumar Buyya, Christian Vecchiola, S. Thamarai Selvi et al. · Elsevier eBooks · 2013
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Nalini Venkatasubramanian, Shakuntala Miriyala, Gul Agha · Sadhana · 1992
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Choice Reviews Online · 1994
This text covers the fundamental issues of developing programs for scientific computation on concurrent computers. Its purpose is to construct a conceptual framework that is a basis for understanding the real issues of concurrency. The core problems are often buried by mountains of technical detail. The conceptual framework allows us to cut through non-issues. It is, therefore, a basis for developing new numerical methods and new software tools that solve the real problems. Anyone who wishes to use concurrent computers should benefit from this text. Because the book covers numerical algorithms, an elementary background of linear algebra and advanced calculus is required. A previous contact with structured programming techniques will be helpful. The level of the text is aimed at advanced undergraduate and graduate students and researchers. The few sections that contain more advanced mathematical material can be omitted upon a first reading of the book. All algorithms are developed in detail, in a unified notation, and according to a coherent methodology. This is not an encyclopedia of recipes. Rather, the book stresses the methodology behind developing one's own concurrent programs for scientific computing. The approach is new because the text introduces formal program development to scientific computing. Readers can expect to cut down the time needed to develop concurrent programs. By following the same methodology, the user's programs will be easier to integrate into libraries, easier to use, and portable to a wide variety of concurrent computers.
Cited by 108
Van de Velde, Eric F. · 1994
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IEEE International Conference on Performance, Computing, and Communications, 2004 · 2004
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Greenough C, Fowler RF · Science and Technology Facilities Council
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Jianping Yao, Sheng Dong, Ruiqi Zheng et al. · Research Square · 2025
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Vijay K. Madisetti · 1991
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Otso Lonka, Andrey Naralchuk · 2014
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Ci̇han H. Dağli, Pipatpong Poshyanonda, Ali Bahrami · Concurrent Engineering · 1993
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Maurice Herlihy, Sergio Rajsbaum · Lecture notes in computer science · 2010
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Virginia Klema · 1987
Abstract : This grant, under the URIP program, provided instrumentation equipment used to enhance research in concurrent computing. The equipment provided a network of concurrent computing machines. Keywords: Numerical algorithms; computations. (Author)
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Alexandru Nicolau, Dan Grigoraş · Medical Entomology and Zoology · 2005
As the awareness of resource sharing and cooperation has increased, concurrent information processing and computing have gained unprecedented attention. The current volume presents state-of-the-art results in this field. This volume includes 12 invited papers and 16 accepted papers that cover a representative set of topics. Three main streams with important and original contributions can be identified: These are cluster and grid computing, wireless networking and computing and modeling distributed systems. Key aspects of concurrent computing, such as modeling, scheduling, load balancing and resource allocation, span all streams. Additionally, some papers showcase applications (e.g., state analysis in electrical circuits, the problem of network maximum flow, infection simulation and evolutionary algorithms), that are eminently suited for (and require) high-performance concurrent computing. Regarding cluster and grid computing - architectural aspects such as SMPs administration, building fault tolerance in DSM and message passing systems, resource management/scheduling and load balancing are presented. Four papers deal with diverse aspects of wireless networks, from modeling communication among mobile entities, to routing, naming systems and multimedia streaming.
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2012
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Han Xiao · 2009
This paper discusses Parallel-Computing background,Parallel-Computing model,the concept and structure of concurrent processor,then illustrates the popular concurrent processing technique and Parallel-Software at present,and at last discusses Parallel-Computing existing problems.The parallel algorithm makes CPU show the advance of real-time processing and computing.
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脇田建, KEN WAKITA · Tokyo Tech Research Repository (Tokyo Institute of Technology) · 1999
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A. A. Husainov, E. S. Kudryashova · 2016
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Vaidy Sunderam · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 1991
The overall objectives of this project are to investigate research issues pertaining to programming tools and efficiency issues in network based concurrent computing systems. The basis for these efforts is the PVM project that evolved during my visits to Oak Ridge Laboratories under the DOE Faculty Research Participation program; I continue to collaborate with researchers at Oak Ridge on some portions of the project.
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Raymond J. Spiteri, Kyle Klenk · CMS/CAIMS books in mathematics · 2025
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Fajstrup, Lisbeth; id_orcid 0000-0003-4936-1176 · VBN Forskningsportal (Aalborg Universitet) · 2000
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