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46 results for “parallel algorithms”
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Research ArticleOpen accessPhrase in the titleParallel Algorithms for String Matching Problem on Single and Two Dimensional Reconfigurable Pipelined Bus SystemsS. Viswanadha Raju, A. Vinaya BabuWe considered string matching on LARPBS and 2D LARPBS. This has applications such as string databases, cellular automata and computational biology. The main use of this method is to reduce the time spent on comparisons in string matching by using LARPBS. We investigated exact string matching and approximate string matching problems. For these two sub problems, we obtained O (n) … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,530 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUsing Threads to Overcome Synchronization Delays in Parallel Multiple Progressive Alignment AlgorithmsEvandro A. Marucci, Geraldo F.D. Zafalon, Julio C. Momente et al.Problem statement: The parallelization of multiple progressive alignment algorithms is a difficult task. All known methods have strong bottlenecks resulting from synchronization delays. This is even more constraining in distributed memory systems, where message passing also delays the interprocess communication. Despite these drawbacks, parallel computing is becoming increasingly necessary to perform multiple sequence alignment. Approach: In this study, it is … …Current Research in Bioinformatics, Vol. 1, Issue 1 · 8 Mar 2012 · 14,192 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleParallel Iterative Algorithms with Accelerate Convergence for Solving Implicit Difference EquationsQing-Fu Liu, Wei-Jun Zhong, Mancho ManevThis study focuses on the solution of implicit difference equations, which are very difficult to compute in parallel for the diffusion equation. For improving the convergence rates and the properties of gradual-approach convergence of Segment-Classic-Implicit-Iterative (SCII) and Segment-Crank-Nicolson-Iterative (SCNI) algorithms realizing efficient iterative computation in parallel by segmenting grid domains, SCII and SCNI algorithms with accelerated convergence are studied and … …American Journal of Applied Sciences, Vol. 1, Issue 1 · 31 Mar 2004 · 6,799 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFPGA-Based Architecture for a Generalized Parallel 2-D MRI Filtering AlgorithmSami Hasan, Said Boussakta, Alex YakovlevProblem statement: Current Neuroimaging developments, in biological research and diagnostics, demand an edge-defined and noise-free MRI scans. Thus, this study presents a generalized parallel 2-D MRI filtering algorithm with their FPGA-based implementation in a single unified architecture. The parallel 2-D MRI filtering algorithms are Edge, Sobel X, Sobel Y, Sobel X-Y, Blur, Smooth, Sharpen, Gaussian and Beta (HYB). Then, the … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 20 Feb 2012 · 8,021 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDesign and Implementation of Parallel Subunit for Synthesis Mathematical ModelsIssa M. ShehabatProblem statement: Mathematical modeling of different natural and technical objects and processes is one of the most important directions that needs high performance computing with huge memory. To reduce the computational time and expenses we need to carry out the calculations on specialized subunits. Approach: We described a self-organizing approximation method and introduced a new methodology of structural synthesis of … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 6,920 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSome P-RAM Algorithms for Sparse Linear SystemsRakesh Kumar Katare, N.S. ChaudhariPRAM algorithms for Symmetric Gaussian elimination is presented. We showed actual testing operations that will be performed during Symmetric Gaussian elimination, which caused symbolic factorization to occur for sparse linear systems. The array pattern of processing elements (PE) in row major order for the specialized sparse matrix in formulated. We showed that the access function in2+jn+k contains topological properties. We … …Journal of Computer Science, Vol. 3, Issue 12 · 31 Dec 2007 · 6,971 accessesView PDFCite
Research ArticleOpen accessIn the keywordsParallelisation of Algorithms of Mathematical MorphologyAbdallah Boukerram, Samira A.K. AzzouThe tools of mathematical morphology developed within the framework of the image processing, require of big capacity of data and the very high costs of execution. So today, the limits of the sequential machines are not to be any more to show, the passage in the new parallel machines of type Simd, Mimd, clusters or grids is imperative. This paper … …Journal of Computer Science, Vol. 2, Issue 8 · 31 Aug 2006 · 6,237 accessesView PDFCite
Research ArticleOpen accessIn the keywordsApplications of Parallel Computing for Facility Location-Transportation Problems for Disaster ResponseChansiri Singhtaun, Suriya NatsupakpongThis study extends the capability and increases the performance of a traditional Branch and Bound (BB) algorithm to solve Facility Location-Transportation problems for Disaster Response (FLTDR) using parallel computing. A Two-Stage Branch and Bound (TBB) algorithm was developed to support two parallel computing approaches. This algorithm divides problems into two small sub-problems, which are a facility location sub-problem and a … …Journal of Computer Science, Vol. 11, Issue 4 · 3 Jun 2015 · 6,654 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDeterministic Parallel Sorting Algorithm for 2-D Mesh of Connected ComputersHamed Al Rjoub, Arwa Zabian, Ahmad OdatSorting is one of the most important operations in database systems and its efficiency can influences drastically the overall system performance. To accelerate the performance of database systems, parallelism is applied to the execution of the data administration operations. We propose a new deterministic Parallel Sorting Algorithm (DPSA) that improves the performance of Quick sort in sorting an array of … …Journal of Computer Science, Vol. 4, Issue 6 · 30 Jun 2008 · 6,824 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting of Multistep Multivariate Financial Data Through GSO Algorithm Infused Vanilla LSTM ModelNikhitha Pai, Ilango Velchamy, Nithya B RameshPredicting time series in the financial domain requires using models that can do sequence processing tasks. One such model is the LSTM model which belongs to the family of deep learning networks. The performance measure of LSTM in a regression task is to bring down the error in the predicted values. In this study, a novel fused LSTM model integrating … …Journal of Computer Science, Vol. 19, Issue 7 · 10 Jul 2023 · 6,074 accessesView PDFCite