Search results for " Parallel"

showing 10 items of 224 documents

"Table 24" of "Studies of quantum chromodynamics with the ALEPH detector"

1997

Unfolded values of the the mean multiplicity and dispersion of the multiplicity distribution integrated over the full rapidity region.

InclusiveQuantitative Biology::BiomoleculesDISPERSIONE+ E- --> Z0E+ E- ScatteringExclusiveComputer Science::Symbolic ComputationE+ E- --> CHARGED X91.2Computer Science::Distributed Parallel and Cluster ComputingMULT
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"Table 6" of "Inclusive production of neutral vector mesons in hadronic Z decays"

1995

Average multiplicity per hadronic event. Extrapolation to the full X range.

InclusiveStrange productionHigh Energy Physics::LatticeE+ E- --> K*(892)0 XE+ E- ScatteringHigh Energy Physics::ExperimentComputer Science::Symbolic Computation91.2Nuclear ExperimentComputer Science::Distributed Parallel and Cluster ComputingMULT
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SWAPHI-LS: Smith-Waterman Algorithm on Xeon Phi coprocessors for Long DNA Sequences

2014

As an optimal method for sequence alignment, the Smith-Waterman (SW) algorithm is widely used. Unfortunately, this algorithm is computationally demanding, especially for long sequences. This has motivated the investigation of its acceleration on a variety of high-performance computing platforms. However, most work in the literature is only suitable for short sequences. In this paper, we present SWAPHI-LS, the first parallel SW algorithm exploiting emerging Xeon Phi coprocessors to accelerate the alignment of long DNA sequences. In SWAPHI-LS, we have investigated three parallelization approaches (naive, tiled, and distributed) in order to deeply explore the inherent parallelism within Xeon P…

Instruction setSmith–Waterman algorithmCoprocessorXeonComputer scienceData parallelismTask parallelismParallel computingSIMDIntrinsicsInstruction-level parallelismXeon Phi2014 IEEE International Conference on Cluster Computing (CLUSTER)
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PGAC: A Parallel Genetic Algorithm for Data Clustering

2005

Cluster analysis is a valuable tool for exploratory pattern analysis, especially when very little a priori knowledge about the data is available. Distributed systems, based on high speed intranet connections, provide new tools in order to design new and faster clustering algorithms. Here, a parallel genetic algorithm for clustering called PGAC is described. The used strategy of parallelization is the island model paradigm where different populations of chromosomes (called demes) evolve locally to each processor and from time to time some individuals are moved from one deme to another. Experiments have been performed for testing the benefits of the parallelisation paradigm in terms of comput…

IntranetCorrectnessTheoretical computer scienceParallel processing (DSP implementation)Artificial neural networkData Clustering Evolutionary Aglorithms Parallel processingSettore INF/01 - InformaticaComputer scienceParallel algorithmA priori and a posterioriAlgorithm designParallel computingCluster analysis
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Systematic Position of the Fossil Burrower Bug Eocenocydnus lisi Popov, 2019 (Hemiptera, Heteroptera, Cydnidae) Revealed by a Parallel/Cross-Eyed Vie…

2022

The fossil burrower bug Eocenocydnus lisi described from the Late Eocene of the Isle of Wight, UK, is analysed using a parallel, cross-eyed viewing method. The species, tentatively placed in the subfamily Sehirinae, is redescribed and its systematic position is discussed. Newly recovered morphological characteristics allow it to be placed in the tribe Cydnini of the subfamily Cydninae.

Isle of WightInsect Scienceredescription; systematic positionfossil bugscross-eyed viewing methodLate Eocenenew tribal placement; parallelnew subfamily placementInsects
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Pure Functions in C: A Small Keyword for Automatic Parallelization

2017

AbstractThe need for parallel task execution has been steadily growing in recent years since manufacturers mainly improve processor performance by increasing the number of installed cores instead of scaling the processor’s frequency. To make use of this potential, an essential technique to increase the parallelism of a program is to parallelize loops. Several automatic loop nest parallelizers have been developed in the past such as PluTo. The main restriction of these tools is that the loops must be statically analyzable which, among other things, disallows function calls within the loops. In this article, we present a seemingly simple extension to the C programming language which marks fun…

LOOP (programming language)Computer sciencemedia_common.quotation_subject020209 energy02 engineering and technologyParallel computingcomputer.software_genreToolchainTheoretical Computer ScienceTask (computing)Automatic parallelizationSide effect (computer science)Parallel processing (DSP implementation)020204 information systemsTheory of computationParallelism (grammar)0202 electrical engineering electronic engineering information engineeringPolytope model020201 artificial intelligence & image processingCompilerFunction (engineering)computerSoftwareInformation Systemsmedia_common2017 IEEE International Conference on Cluster Computing (CLUSTER)
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Architecture-Driven Level Set Optimization: From Clustering to Sub-pixel Image Segmentation

2016

Thanks to their effectiveness, active contour models (ACMs) are of great interest for computer vision scientists. The level set methods (LSMs) refer to the class of geometric active contours. Comparing with the other ACMs, in addition to subpixel accuracy, it has the intrinsic ability to automatically handle topological changes. Nevertheless, the LSMs are computationally expensive. A solution for their time consumption problem can be hardware acceleration using some massively parallel devices such as graphics processing units (GPUs). But the question is: which accuracy can we reach while still maintaining an adequate algorithm to massively parallel architecture? In this paper, we attempt to…

Level set methodComputer science0211 other engineering and technologiesInitialization02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingLevel setgraphics processing units0202 electrical engineering electronic engineering information engineeringLevel set methodComputer visionElectrical and Electronic EngineeringCluster analysisMassively parallelimage segmentation021101 geological & geomatics engineeringActive contour modelhybrid CPU-GPU architecturebusiness.industryImage segmentationSubpixel renderingComputer Science ApplicationsHuman-Computer InteractionControl and Systems EngineeringHardware acceleration020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSoftwareInformation Systems
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FPGA Implementation Of Diffusive Realization For A Distributed Control Operator

2010

International audience; We focus on the question of real-time computation for optimal distributed filtering or control applicable to MEMS Arrays. We present an algorithm for the realization of a linear operator solution to a functional equation through its application to a Lyapunov operatorial equation associated to the heat equation in one dimension. It is based on the diffusive realization, and turns to be well suited for fined grained parallel computer architecture as Field Programmable Gate Arrays (FPGA). An effective FPGA implementation has been successfully carried out. Here, we report the main implementation steps and the final measured performances.

Lyapunov function[ INFO.INFO-MO ] Computer Science [cs]/Modeling and SimulationComputer scienceComputation[ INFO.INFO-CR ] Computer Science [cs]/Cryptography and Security [cs.CR]010103 numerical & computational mathematics02 engineering and technology01 natural sciencesComputational sciencesymbols.namesakeComputer Science::Hardware Architecture[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Operator (computer programming)[ INFO.INFO-DC ] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Functional equation[INFO.INFO-DC] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]0202 electrical engineering electronic engineering information engineeringElectronic engineering0101 mathematicsField-programmable gate array[INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]020208 electrical & electronic engineeringOptimal control[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationsymbolsHeat equation[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Realization (systems)
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Biological and clinical significance of dysplastic hematopoiesis in patients with newly diagnosed multiple myeloma

2020

On behalf of the PETHEMA/GEM Cooperative Group.

MaleOncologyPhysics::Instrumentation and Detectorsmedicine.medical_treatmentKaplan-Meier EstimateHematopoietic stem cell transplantationBiochemistryhemic and lymphatic diseasesAntineoplastic Combined Chemotherapy ProtocolsTumor MicroenvironmentProspective StudiesComputer Science::Operating SystemsIn Situ Hybridization FluorescenceMultiple myelomaRandomized Controlled Trials as TopicComputer Science::Cryptography and SecurityHazard ratioHematopoietic Stem Cell TransplantationHigh-Throughput Nucleotide SequencingHematologyMiddle AgedFlow CytometryPrognosisCombined Modality TherapyProgression-Free Survivalmedicine.anatomical_structureFemaleClonal HematopoiesisMultiple Myelomamedicine.medical_specialtyImmunologyTransplantation AutologousInternal medicinemedicineHumansClinical significanceProgression-free survivalComputer Science::Distributed Parallel and Cluster ComputingAgedAntineoplastic Combined Chemotherapy Protocolbusiness.industryCell Biologymedicine.diseaseTransplantationClinical Trials Phase III as TopicMyelodysplastic SyndromesMutationBone marrowbusinessMonoclonal gammopathy of undetermined significance
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Increased cortical curvature reflects white matter atrophy in individual patients with early multiple sclerosis

2014

Objective White matter atrophy occurs independently of lesions in multiple sclerosis. In contrast to lesion detection, the quantitative assessment of white matter atrophy in individual patients has been regarded as a major challenge. We therefore tested the hypothesis that white matter atrophy (WMA) is present at the very beginning of multiple sclerosis (MS) and in virtually each individual patient. To find a new sensitive and robust marker for WMA we investigated the relationship between cortical surface area, white matter volume (WMV), and whole-brain-surface-averaged rectified cortical extrinsic curvature. Based on geometrical considerations we hypothesized that cortical curvature increa…

MalePathologyROI region of interestFOV field of viewlcsh:RC346-429ImagingGRAPPA generalized autocalibrating partially parallel acquisitionCortex (anatomy)Image Processing Computer-AssistedFA fractional anisotropyWMV white matter volumeTE echo timeCerebral Cortexmedicine.diagnostic_testEVAL Münster Neuroimaging Evaluation SystemMiddle AgedMagnetic Resonance ImagingWhite MatterTR repetition timemedicine.anatomical_structureNeurologyGMV gray matter volumeCerebral cortexCortexlcsh:R858-859.7FemaleAlzheimer's diseasePsychologyCIS clinically isolated syndromeMRITSE turbo spin-echoAdultmedicine.medical_specialtyAdolescentCognitive NeuroscienceCortical curvatureICV intracranial volumelcsh:Computer applications to medicine. Medical informaticsCurvatureArticleEDSS Expanded Disability Status ScaleMultiple sclerosisWhite matterYoung AdultAtrophyAlzheimer DiseasemedicineHumansRadiology Nuclear Medicine and imagingWM white matterlcsh:Neurology. Diseases of the nervous systemAgedMultiple sclerosis3D three-dimensionaleWMV estimated white matter volumeMagnetic resonance imagingmedicine.diseaseΔWMV WMV − eWMVCI confidence intervalCase-Control StudiesGM gray matterAnisotropyDTI diffusion tensor imagingNeurology (clinical)AtrophySD standard deviationDemyelinating DiseasesNeuroImage: Clinical
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