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large scale parallel processing

Large Scale Image Processing Using Distributed and          Parallel Architecture

Large Scale Image Processing Using Distributed and Parallel Architecture

... data processing model using open source Hadoop framework for manipulating large volume of data ...methods parallel image database processing with mapreduce and Hadoop streaming ...video ...

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PARALLEL SIMULATION OF LARGE-SCALE WIRELESS SENSOR NETWORKS

PARALLEL SIMULATION OF LARGE-SCALE WIRELESS SENSOR NETWORKS

... a large number of self organizing, low-cost sensor devices can be deployed over the affected ...sensor, processing unit and low-power radio, can be imbued with the intelligence to seek out its neighbors and ...

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Cloud Computing and Large Scale Computing in the Life Sciences: Opportunities for Large Scale Sequence Processing

Cloud Computing and Large Scale Computing in the Life Sciences: Opportunities for Large Scale Sequence Processing

... • Characteristics of applications suitable for clouds • Iterative MapReduce and related programming models: Simplifying the implementation of many data parallel applications • FutureGrid[r] ...

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Accelerating large scale protein structure alignments with graphics processing units

Accelerating large scale protein structure alignments with graphics processing units

... create a unique design to manage resources of the GPU architecture. First, an intelligent decomposition of the application in kernels characterized by different paralle- lization strategies is provided. In the existing ...

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An Efficient Platform for Large-Scale MapReduce Processing

An Efficient Platform for Large-Scale MapReduce Processing

... system, Parallel Virtual Machine (PVM) and Message Passing Interface ...world. Large Beowulf machines might have more than one server node, and possibly other nodes dedicated to particular tasks, for ...

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Design and Evaluation of a Parallel Classifier for Large Scale Arabic Text

Design and Evaluation of a Parallel Classifier for Large Scale Arabic Text

... a parallel learning algorithm. The parallel algorithm is based on the k-NN ...the parallel implementation on Compute Unified Device Architecture (CUDA) enabled Graphics Processing Unit ...

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Parallel Algorithm of IDCT with GPUs and CUDA for Large-scale Video Quality of 3G

Parallel Algorithm of IDCT with GPUs and CUDA for Large-scale Video Quality of 3G

... Graphics processing units or GPUs provide a high computational throughput due to their large number of processor ...a large number of threads launched by ...

7

Semantic Network Array Processor as a Massively Parallel Computing Platform for High Performance and Large Scale Natural Language Processing

Semantic Network Array Processor as a Massively Parallel Computing Platform for High Performance and Large Scale Natural Language Processing

... Semantic Network Array Processor as a Massively Parallel Computing Platform for High Performance and Large Scale Natural Language Processing S e m a n t i c N e t w o r k A r r a y P r o c e s s o r a[.] ...

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A review of parallel computing for large-scale remote sensing image mosaicking

A review of parallel computing for large-scale remote sensing image mosaicking

... For large scale application, image mosaicking has to deal with extremely huge number of images, especially on continental or global ...Continental scale, such as north America, ...of ...

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GATECloud.net: a Platform for Large-Scale, Open-Source Text Processing on the Cloud

GATECloud.net: a Platform for Large-Scale, Open-Source Text Processing on the Cloud

... thread, processing documents, whereas computer time is the time taken by a given ...multiple parallel execution threads are ...where processing was distributed across several ...

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PC Grade Parallel Processing and Hardware Acceleration for Large Scale Data Analysis

PC Grade Parallel Processing and Hardware Acceleration for Large Scale Data Analysis

... As a relative recent development, the programming standards, Shader Model 3 and 4, have made it possible for the GPU internal processes to write to vertex streams, as indicated by the bold dot line in Figure 3.4. In ...

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LARGE SCALE SATELLITE IMAGE PROCESSING USING HADOOP DISTRIBUTED SYSTEM

LARGE SCALE SATELLITE IMAGE PROCESSING USING HADOOP DISTRIBUTED SYSTEM

... implementing 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 ...

5

Large Scale Classification Based on Combination of Parallel SVM and Interpolative MDS

Large Scale Classification Based on Combination of Parallel SVM and Interpolative MDS

... data processing needs arising from the storm of data that is flowing through virtually every science field, such as bioinformatics [2-3], biomedical [4-5], Cheminformatics [6], web [7] and so ...these large ...

8

Large-scale development, characterization, and cross-amplification of EST–SSR markers in Chinese chive

Large-scale development, characterization, and cross-amplification of EST–SSR markers in Chinese chive

... involves large-scale sequencing of whole genomes, SSR-enriched genome regions or expressed sequence tag (EST) ...technology, large numbers of EST-derived SSR markers have been developed de novo ...

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The SiO outflow from IRAS 17233-3606 at high resolution

The SiO outflow from IRAS 17233-3606 at high resolution

... lowering the collimation (e.g. Raga et al. 2009), and there are still further theories suggesting how the competing outflows from the various accreting protostars interacting with each other produce the large ...

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hpsgprof : a new profiling tool for large scale parallel scientific codes

hpsgprof : a new profiling tool for large scale parallel scientific codes

... of samples variation, which can be expected for sampling-based methods. We also compared the overhead with an unprofiled version of the code. Over- all, TAU provides the lowest overhead for Sweep3D. The Sweep3D structure ...

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Collection and linguistic processing of a large-scale corpus of medical articles

Collection and linguistic processing of a large-scale corpus of medical articles

... In the next step, medical terms are identified. We cur- rently have two different term identifiers: one is based on a robust lookup in the medical database UMLS (Lindberg et al., 1993; Humphreys et al., 1998), the other ...

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Study on Cleaning and Pre-Processing Of Large Scale Mobile Data

Study on Cleaning and Pre-Processing Of Large Scale Mobile Data

... For ostensible factors we utilize the distinctive conceivable qualities as the classes, for example, organize type that shows data of Wi-Fi or mobile, and applicati[r] ...

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A Peer-To-Peer based Large-Scale Data  processing Using MapReduce

A Peer-To-Peer based Large-Scale Data processing Using MapReduce

... variety for effcient retrieval. BestPeer++ employs a hybrid design for reaching high performance question processing. The most important workload of a company network is simple, low overhead queries. Such queries ...

5

Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems

Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems

... be stored in the available memory and efficiently solved (Boser et al., 1992; Chang and Lin, 2001; Collobert and Bengio, 2001; Joachims, 1998; Osuna et al., 1997; Platt, 1998). At each decomposi- tion step, a subset of ...

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