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Highly Parallel Computation [PDF]

Science, 1990
Highly parallel computing architectures are the only means to achieve the computational rates demanded by advanced scientific problems. A decade of research has demonstrated the feasibility of such machines, and current research focuses on which architectures are best suited for particular classes of problems.
Denning, P. J., Tichy, Walter F.
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Randomized parallel computation [PDF]

, 1987
The subject of this thesis is randomized parallel algorithms. The goal is to demonstrate the power of randomization in designing efficient parallel algorithms for various computational problems. The specific problems we are concerned with are: sorting, routing, and combinatorial optimization.
Sanguthevar Rajasekaran, John H. Reif
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Programming parallel computers [PDF]

Proceedings. 1988 International Conference on Computer Languages, 2003
This paper is from a keynote address to the IEEE International Conference on Computer Languages, October 9, 1988. Keynote addresses are expected to be provocative (and perhaps even entertaining), but not necessarily scholarly. The reader should be warned that this talk was prepared with these expectations in mind.Parallel computers offer the potential ...
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Parallel computing technologies [PDF]

Future Generation Computer Systems, 2001
Dear Colleagues, This special issue of the journal is devoted to Parallel Computing Technologies (PaCT). Today the PaCT is the mainstream research area in parallel computing. Generally, Science of Parallel Computing Technologies studies laws of the combined use of the results obtained in many different research areas: pure and applied mathematics ...
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Parallel Computing Techniques [PDF]

, 2011
Parallel computing means to divide a job into several tasks and use more than one processor simultaneously to perform these tasks. Assume you have developed a new estimation method for the parameters of a complicated statistical model. After you prove the asymptotic characteristics of the method (for instance, asymptotic distribution of the estimator),
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The GlycoPaSER prototype as a real-time N-glycopeptide identification tool based on the PaSER parallel computing platform [PDF]

Int J Mol Sci, 2023
Armony G, Brehmer S, Srikumar T, Pfennig L, Zijlstra F, Trede D, Kruppa G, Lefeber DJ, van Gool AJ, Wessels HJ.   +9 more
europepmc   +2 more sources

Parallel Computing

, 2023
AbstractThe concept of parallelism of computations is very important to obtain the results required by the algorithms of big data processing applied in several domains, like ML, AI, neural networks, approximate computing, etc. In this chapter the use of and stations and of their respective generation/synchronization policies are described [12]. Three
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Accelerated preprocessing of large numbers of brain images by parallel computing on supercomputers. [PDF]

Sci Rep, 2023
Jimbo T, Matsuo H, Imoto Y, Sodemura T, Nishimori M, Fukui Y, Hayashi T, Furuyashiki T, Yokoyama R.   +8 more
europepmc   +1 more source

Intelligent Modelling of the Real Dynamic Viscosity of Rubber Blends Using Parallel Computing. [PDF]

Polymers (Basel), 2023
Kopal I, Labaj I, Vršková J, Harničárová M, Valíček J, Tozan H.   +5 more
europepmc   +1 more source

PARALLEL COMPUTING

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Parallel computing is a computational technique in which two or more tasks or instructions can be processed concurrently by means of several processors resulting into enhanced computational efficiency as well as decreased time for solving complex problems.
Dr Ani Brown Mary N, Dr Anne Wincy, Dr Abbiramy V S, Dr Shameem Fathima A   +3 more
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