large scale scientific processing
MapReduce-based Parallelization of Sparse Matrix Kernels for Large-scale Scientific Applications
... enables processing of large data in a parallel and distributed fashion on clusters that generally consist of commodity ...many large-scale projects [2] [3] [4] ...
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Big Data architecture for large-scale scientific computing
... We introduce the VELaSSCo project. Simulations produce exponentially growing volumes of data, and it is not possible to store them anymore into existing IT systems. Therefore, VELaSSCo aims to develop new concepts for ...
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Hadoop TS: Large Scale Time Series Processing
... of scientific applications, ...storing large-scale unstructured or semi-structured data ...loaded. Large amounts of data can be collected and processed without the need of defin- ing a certain ...
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Building Efficient Large-Scale Big Data Processing Platforms
... of processing stages, and each stage represents a generally defined data operation such as filtering, merging, sorting, and ...a large-scale cluster, each stage includes a number of identical tasks ...
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FLEXIBLE SHARING IN DHT BASED P2P NETWORKS USING METADATA OF RESOURCE
... massive scientific data storage on the network, and based on the Hadoop and virtual technologies, the massive scientific data storage model based on cloud computing is ...massive scientific data is ...
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Visual Analysis for Extremely Large Scale Scientific Computing
... The analytics module is in charge of analyzing and processing the stored data. This processes aims to produce new information in order to answer a requirement from the Query Manger (QM). To ensure a fast ...
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Visual Analysis for Extremely Large- Scale Scientific Computing
... Google has developed this solution to index the Web, and provide an efficient WebCrawler. This solution is based on 3 components: GFS [215], BigTable [56] and MapReduce. The main component is GFS (Google File System). It ...
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Feature Extraction and Parallel Visualization for Large-Scale Scientific Data
... on large unstructured ...mesh processing techniques to perform their computations based on the new processing sequence ...a large dataset with a reduced I/O cost, most of them require expen- ...
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Collection and linguistic processing of a large-scale corpus of medical articles
... The automatically identified medical terms and values are used for patient-specific search, which is implemented as a comparison between patient records and scientific ar- ticles. A patient record is a complex of ...
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Scientific data mining and processing using MapReduce in cloud environments
... [1]. Scientific applications are usually complex and data ...current scientific computing landscape is vastly populated by the growing set of data-intensive computations that require enormous amounts of ...
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Visual Analysis for Extremely Large Scale Scientific Computing
... 1. Data Sources: Are the sources of all data to be made available to the solution. The Big Data solution must have the ability to capture any data source. To this solution usually have connectors or adapters to receive, ...
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Accelerating large scale protein structure alignments with graphics processing units
... Graphic Processing Units (GPUs), more and more bioinformatics applications have been deployed on GPUs and have shown promising results in terms of speedup over their conventional CPU imple- ...
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A Large-Scale Web Data Collection as a Natural Language Processing Infrastructure
... Language resources such as corpora and lexicons have contributed to boost up the development of Natural Lan- guage Processing (NLP) technology. It is important to share the language resources. In recent years, ...
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LARGE SCALE SATELLITE IMAGE PROCESSING USING HADOOP DISTRIBUTED SYSTEM
... parallel processing of remote sensing images in TIF format by using the HadoopMapReduce ...image processing algorithms can be effectively parallelized with acceptable run times when applied to remote ...
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GATECloud.net: a Platform for Large-Scale, Open-Source Text Processing on the Cloud
... PaaS [3] are a type of cloud computing service that insulates developers from the low-level issues of using IaaS effectively, while providing facilities for efficient development, testing and deployment of software over ...
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Download Download PDF
... Core Scientific Metadata Model (CSMD), a model for the representation of scientific study metadata developed within the Science & Technology Facilities Council (STFC) to represent the data generated ...
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A Web scale system for scientific knowledge exploration
... facilitate scientific knowledge ex- ploration (see Figure ...a scientific knowledge base and a heterogeneous graph with six types of academic entities: publica- tion, author, institution, journal, ...
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A Peer-To-Peer based Large-Scale Data processing Using MapReduce
... At final to broaden the revenue; firms may just alternate their industry partners. For this reason, the participants may become a member of and go away the share networks at get to the bottom of . This obstacle can't be ...
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Large-scale Medical Image Processing
... representative large-scale medical ...efficiently large amounts of data, and to deal with different transition imag- ing features of various ...
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Hadoop MapReduce Scheduling Algorithms – A Survey
... FIFO is the default Hadoop scheduler. The main objective of FIFO scheduler to schedule jobs based on their priorities in first-come first-out of first serve order. The FIFO scheduler operates using a FIFO queue. Job is ...
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