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[PDF] Top 20 Scalable Data Analytics: Parallel Computing Reborn

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Scalable Data Analytics: Parallel Computing Reborn

Scalable Data Analytics: Parallel Computing Reborn

... McKinsey Institute on Big Data Jobs • There will be a shortage of talent necessary for organizations to take advantage of big data. By 2018, the United States alone could face a shortage of 140,000 to ... See full document

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Scalable Parallel Computing on Clouds

Scalable Parallel Computing on Clouds

... References 1. M. Isard, M. Budiu, Y. Yu, A. Birrell, D. Fetterly, Dryad: Distributed data-parallel programs from sequential building blocks, in: ACM SIGOPS Operating Systems Review, ACM Press, 2007, pp. ... See full document

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Selected Parallel and Scalable Methods for Scientific Big Data Analytics

Selected Parallel and Scalable Methods for Scientific Big Data Analytics

... – Data Publisher for Earth & Environmental Science - Research data enters scholarly communication and big data analysis’, presentation at EGU 2014, Vienna [2] ...‘Smart Data Analytics ... See full document

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Selected Parallel and Scalable Methods for Scientific Big Data Analytics

Selected Parallel and Scalable Methods for Scientific Big Data Analytics

... „Reference Data Analytics“ for reusability & learning CRISP- DM Report Openly Shared Datasets Running Analytics Code ‘Best Practices‘ Parallel Brain Data Analytics (Quickbird) Classi[r] ... See full document

35

Research on High-performance and Scalable Data Access in Parallel Big Data Computing

Research on High-performance and Scalable Data Access in Parallel Big Data Computing

... the parallel I/O ...trace data that takes into account the fact that HPC I/O systems can be represented as ...diverse data movement methods to couple simulation with ...a data replication ... See full document

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Scientific Big Data Analytics by HPC - Parallel and Scalable Machine Learning on JURECA

Scientific Big Data Analytics by HPC - Parallel and Scalable Machine Learning on JURECA

... Riedel et al., ‘ On Parallel and Scalable Classification and Clustering Techniques for Earth Science Datasets’ , 6 th Workshop on Data Mining in Earth System Science, International Conf[r] ... See full document

27

Center for Programming Models for Scalable Parallel Computing

Center for Programming Models for Scalable Parallel Computing

... used data structures in scratchpad memory to ensure fast access; (2) a unique spin lock algorithm for shared memory synchronization based on in-memory atomic instructions and native support for thread level ... See full document

8

Center for Programming Models for Scalable Parallel Computing

Center for Programming Models for Scalable Parallel Computing

... becoming parallel, ...with data and to enable local and remote asynchronous activi- ...with data is an effective way of avoiding exposed latency, especially when performing complex operations on ... See full document

11

Scalable Parallel Computing on Clouds : Efficient and scalable architectures to perform pleasingly parallel, MapReduce and iterative data intensive computations on cloud environments

Scalable Parallel Computing on Clouds : Efficient and scalable architectures to perform pleasingly parallel, MapReduce and iterative data intensive computations on cloud environments

... • T. Gunarathne, T.-L. Wu, B. Zhang and J. Qiu, “Portable Parallel Programming on Cloud and HPC: Scientific Applications of Twister4Azure”. 4 th IEEE/ACM International Conference on Utility and Cloud ... See full document

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SCALABLE PARALLEL COMPUTING ON CLOUDS: EFFICIENT AND SCALABLE ARCHITECTURES TO PERFORM PLEASINGLY PARALLEL, MAPREDUCE AND ITERATIVE DATA INTENSIVE COMPUTATIONS ON CLOUD ENVIRONMENTS

SCALABLE PARALLEL COMPUTING ON CLOUDS: EFFICIENT AND SCALABLE ARCHITECTURES TO PERFORM PLEASINGLY PARALLEL, MAPREDUCE AND ITERATIVE DATA INTENSIVE COMPUTATIONS ON CLOUD ENVIRONMENTS

... 112 For the skewed distributed inhomogeneous data, we notice clear performance degradation in the Dryad implementation. Once again, the Hadoop implementation performs consistently without showing significant ... See full document

208

Design of Scalable, Parallel-Computing Software Development Tool

Design of Scalable, Parallel-Computing Software Development Tool

... the data used in the analysis, however, these systems can take several days to produce responses, resulting in delays in the business's ability to optimize prices, calculate forecasts, and respond to customer ... See full document

5

Numerical Libraries and Tools for Scalable Parallel Cluster Computing

Numerical Libraries and Tools for Scalable Parallel Cluster Computing

... performance parallel code on a Constellation using an abstract programming model that is not dependent on implementation details of the underlying ...libraries, data structure libraries, and numerical ... See full document

9

Scalable High Performance Data Analytics

Scalable High Performance Data Analytics

... Scalable Parallel Interoperable Data Analytics Library • MIDAS integrating middleware that links HPC and ABDS now has several components including an architecture for Big Data ... See full document

62

A Cloud Computing Approach to On-Demand and Scalable CyberGIS Analytics

A Cloud Computing Approach to On-Demand and Scalable CyberGIS Analytics

... needs computing platforms where data and computational capabilities can be adapted not only to fluctuating numbers of user requests but also to varying sizes of analytical ...cloud computing enables ... See full document

8

Scalable Parallel Computing on Clouds Using Twister4Azure Iterative MapReduce

Scalable Parallel Computing on Clouds Using Twister4Azure Iterative MapReduce

... In order to withstand the brittleness of cloud infrastructures and to avoid potential single point failures, we designed MRRoles4Azure as a decentralized control architecture that does not rely on a central coordinator ... See full document

18

Scalable parallel evolutionary optimisation based on high performance computing

Scalable parallel evolutionary optimisation based on high performance computing

... sufficient data, the surrogate model can help to efficiently identify superior candidate solutions and accordingly facilitate search; otherwise, the solution quality even reduces when surrogate models are trained ... See full document

189

Twister4Azure: Parallel Data Analytics on Azure

Twister4Azure: Parallel Data Analytics on Azure

... Distributed Computing Framework for Iterative Computation, Proceedings of the 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and PhD Forum, ... See full document

43

Scalable Parallel Clustering for Data Mining on Multicomputers

Scalable Parallel Clustering for Data Mining on Multicomputers

... arranges data items into several groups so that similar items fall into the same ...large data sets, clustering algorithms are very computing demanding and require high- performance machines to get ... See full document

9

A parallel method for scalable anonymization of transaction data

A parallel method for scalable anonymization of transaction data

... transaction data, which can be applied using different ...transaction data that has many desirable ...preserve data utility ...not scalable to large ...a parallel version of RBAT using ... See full document

7

Scalable Deep Analytics on Cloud and High Performance Computing Environments

Scalable Deep Analytics on Cloud and High Performance Computing Environments

... • Ability to use Cloud computing allows us to tap cheap commercial resources and several important data and programming advances. Nevertheless we also need to exploit traditional HPC environments. We ... See full document

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