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57 results for “parallel computation”
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Research ArticleOpen accessIn the abstractPerformance Evaluation of Apache Spark Vs MPI: A Practical Case Study on Twitter Sentiment AnalysisDeepa S Kumar, M Abdul RahmanThe advent of various processing frameworks which happens under big data technologies is due to tremendous dataset size and its complexity. The speed of execution was much higher with High Performance computing frameworks rather than big data processing frameworks. As majority of the jobs under big data are mostly data intensive rather than computation intensive, the High Performance Computing paradigms … …Journal of Computer Science, Vol. 13, Issue 12 · 23 Dec 2017 · 8,070 accessesView PDFCite
Research ArticleOpen accessIn the abstractLogistic Regression with Multi-Connected WeightsAvazjon Marakhimov Rakhimovich, Kabul Khudaybergenov Kadirbergenovich, Zahriddin Muminov Ishkobilovich, Kudaybergenov Jabbarbergen KadirbergenovichResults of current research in biological and cognitive science reveal that neuronal interactions predominantly depend on neurotransmitters for signaling and sending information between neurons. Furthermore, a specific neuron that is connected to the next neuron transmits or sends multiple neurotransmitters in parallel ways, where each neurotransmitter has specific functional roles. Based on these results, a new type of logistic regression … …Journal of Computer Science, Vol. 20, Issue 9 · 4 Jul 2024 · 5,059 accessesView PDFCite
Research ArticleOpen accessIn the abstractNovel Apache Spark based Algorithm to Solve Dirichlet Problem for Poisson Equation in 3D Computational DomainShomanov Aday, Mansurova MadinaParallel computations are essential tool in solving large-scale computationally demanding problems. Due to large diversity and heterogeneity of the currently available parallel processing techniques and paradigms it is usually difficult to find the right solution that will perform well according to every performance metric. As one of the recent developments in parallel computing Apache Spark framework allows to process petabyte-scale … …Journal of Computer Science, Vol. 12, Issue 10 · 15 Dec 2016 · 7,049 accessesView PDFCite
Review ArticleOpen accessIn the abstractConfluences among Big Data, Finite Element Analysis and High Performance ComputingLidong Wang, Guanghui Wang, Cheryl Ann AlexanderBig Data analyzes correlations from huge raw data and predicts outcomes. It has great impacts on scientific discoveries and value creation. High Performance Computing (HPC) uses parallel processing and advanced programs or software packages to complete complicated jobs quickly. Finite Element Method (FEM) is very powerful in scientific computation and engineering analysis. It has created huge values in almost every … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 15 Jul 2015 · 8,066 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplications 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 abstractMembrane Computing Inspired Genetic Algorithm on Multi-Core ProcessorsAli Maroosi, Ravie Chandren MuniyandiMembrane computing is a branch of natural computing. Several studies have recently attempted to utilize the structure of membrane computing to improve intelligent algorithms. These studies have applied communication rules in membrane models to facilitate information exchange between membranes, thereby improving the performance of those algorithms. However, parallel membrane computing has not yet been considered. This study proposes a membrane … …Journal of Computer Science, Vol. 9, Issue 2 · 12 Apr 2013 · 6,625 accessesView PDFCite
Research ArticleOpen accessIn the abstractExplicit Allocation Strategy with Deadline and Budget Constraint Algorithm in Bag of Tasks GridM. Suresh Kumar, T. PurusothamanProblem statement: This study is for effective scheduling of grid jobs based on economy for space shared resources in Bag of tasks grid. Grid Computing aims in combining the power of heterogeneous, geographically distributed, multi-domain computational resources to provide high performance or high throughput. Approach: Space shared resources are parallel supercomputers and clusters of workstations that provides a great amount … …Journal of Computer Science, Vol. 8, Issue 7 · 7 Jun 2012 · 6,229 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Best Candidates Method for Solving Optimization ProblemsHlayel Abdallah AhmadProblem statement: This study is about describing solution technique called Best Candidates Method (BCM) for solving optimization problems; the goal is to minimize the computation time to get the optimal solution. In this study I apply the BCM to the linear assignment problems (LAP) that is one of the optimization problems in the Operation Research (OR). Approach: The optimization problem … …Journal of Computer Science, Vol. 8, Issue 5 · 27 Feb 2012 · 8,341 accessesView PDFCite
Research ArticleOpen accessIn the abstractSecure Selection of Multiple Resources Based on Virtual Private Network for Computational GridsG. Kavitha, V. SankaranarayananProblem statement: Grid computing provides a virtual framework for controlled sharing of resources across institutional boundaries. In computational grids, a client application is executed on the available set of resources that satisfy the user QoS requirements. Some applications require exhaustive computation power for execution of its tasks. In general, these tasks are assigned to a single available resource on the … …Journal of Computer Science, Vol. 7, Issue 12 · 22 Oct 2011 · 7,607 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Approach to Medical Image SegmentationNandagopalan Shanmugam, Adiga B. Suryanarayana, Sudarshan TSB et al.Problem statement: Segmentation is a vital aspect of medical imaging. It aids in the visualization of medical data and diagnostics of various diseases. Ultrasound image segmentation, in particular echocardiographic image segmentation, is required to identify the regions of interest such as Left Ventricle (LV) and other cardiac cavities. Existing methods do not address the drawbacks of speed and quality of … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,214 accessesView PDFCite