Recent Trends in Parallel Computing
Volume 4, Issue 2 (2017)
Published
Table of contents
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MapReduce Paradigm Using Large-Scale Ontologies
Abstract: AbstractWith the upcoming information downpour of semantic information, the quick development of ontology bases has acquired huge difficulties in performing proficient and adaptable thinking. Conventional incorporated thinking techniques are not adequate to process substantial ontologies. Disseminated thinking techniques are in this manner required to enhance the adaptability and execution of deductions. They propose an incremental and dispersed induction technique for substantial scale ontologies by utilizing MapReduce, which acknowledges elite thinking …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 2, 2017 · pp. 1–9 Read article
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Implementation of MRPrePost Parallel Algorithm based on Hadoop Platform for Large-Data Mining
Abstract: AbstractThe volume, velocity and variety of the data have increased several folds in the past few years. The conventional algorithms and techniques used to mine such huge data are found to be less efficient because these algorithms consider only the large threshold value due to which the number of candidates can be reduced, but this will lead mining association rules production to be inaccurate due to low utilization of data. …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 2, 2017 · pp. 10–20 Read article
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Parallel Computing to Perform Isogeometric Topology Optimisation of Continuum Structures Using Aqua Search Evolutionary Algorithm
Abstract: AbstractThe efficiency and effectiveness of using the computational power to solve engineering problems is the real challenge. The knowledge of Computer Science and Information Technology should enable us to address these challenges in the field of computational mechanics and solvea few structural engineering problems. The main focus in this paper is to be able to apply parallel computing to perform engineering optimization of NP(non-deterministic polynomial-time hardness)-hard problems using fewer computational …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 2, 2017 · pp. 21–31 Read article
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Analysis of Public Sentiment Variations on Twitter Data Set
Abstract: AbstractLarge numbers of users share their opinions on social networking sites, making it a valuable platform for tracking and analyzing public sentiment. Twitter has become a valuable platform for public to share their opinion. It can be used for sentiment analysis. Such tracking and analysis can provide critical information for decision making in various domains. It has attracted attention in both academia and industry. Sentiment analysis is nothing but finding …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 2, 2017 · pp. 32–57 Read article
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A Survey on Designing of OpenMP, UPC and MPI
Abstract: AbstractThe present pattern to multicore designs underscores the need of parallelism. While new dialects and options for supporting all the more proficiently, these frameworks are proposed, MPI confronts this new test. Along these lines, execution assessments of current alternatives for programming multicore frameworks are required. This paper assesses MPI execution against Unified Parallel C (UPC) and OpenMP on multicore designs. From the investigation of the outcomes, it can be reasoned …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 2, 2017 · pp. 58–63 Read article