Search results for " Parallel"

showing 10 items of 224 documents

"Table 2" of "Production of charged pions, kaons and protons at large transverse momenta in pp and Pb-Pb collisions at sqrt(sNN) = 2.76 TeV"

2014

Invariant yields of identified kaons in central and peripheral Pb-Pb collisions, together with the unscaled pp reference yields.

P P --> K+ XStrange production2760.0Nuclear TheorySingle Differential DistributionP P --> K- XDN/DPTInclusiveProton-Proton ScatteringPB PB --> K- XHigh Energy Physics::ExperimentPB PB --> K+ XNuclear ExperimentTransverse Momentum DependenceComputer Science::Distributed Parallel and Cluster Computing
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Low Level Languages for the PAPIA Machine

1986

The paper presents the low-level languages implemented up to date to program the PAPIA machine. The parallel assembly-level P-MAGRO package, the microcode level instruction set and a machine simulating environment are described.

PAPIA Language Architecture SIMD Processor Parallel-CScalar processorComputer scienceVirtual machineProgramming languageSimd processorParallel computingArchitecturePyramid algorithmcomputer.software_genreLow-level programming languagecomputer
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Dynamic interface for machine vision systems

2002

Iconic programming intends to provide expressive tools to implement, to debug, and to execute programs. For this purpose, visual languages need pictorial constructs and metaphors to guide the design of algorithms in interactive fashion. In the paper a new class of dynamic visual interfaces, named DIVA (Dynamic Interface for Visual Applications), is introduced, its properties are described, and an application to visual compilers in a multi-processors system dedicated to image analysis is given. Moreover, a formal definition of dynamic icon (DI) is also given.

Parallel processing (psychology)Settore INF/01 - Informaticabusiness.industryMachine visionComputer scienceProgramming languagemedia_common.quotation_subjectMachine vision Humans Computer interfaces Time varying systems Computer science Algorithm design and analysis Image analysis Parallel processing Virtual reality Multimedia systemsVirtual realitycomputer.software_genreDebuggingComputer graphics (images)Algorithm designCompilerArtificial intelligenceIconbusinesscomputerGraphical user interfacecomputer.programming_languagemedia_commonProceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5)
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Evaluation Of Massive Parallel Sequencing As A Diagnostic Tool For Familial Hypercholesterolemia

2015

Abstract Familial hypercholesterolemia (FH) is one of the most common single gene disorders, which is mostly inherited as an autosomal dominant trait. The physical signs of FH are elevated low density lipoprotein cholesterol (LDL-C), elevated total cholesterol (TC) levels and tendon xantomas. Identification and early treatment of affected individuals is desirable and in lack of physical symptoms DNA-based diagnosis provides confirmation of diagnosis and enables early patient management. The majority of FH cases are caused by mutations in four genes (APOB, LADLR, PCSK9, and LDLRAP1). There are commercial kits available for testing of the 20 most common FH causing mutations, but the spectrum …

Pediatricsmedicine.medical_specialtyldlrApolipoprotein Bldlrap1ScienceLow density lipoprotein cholesterolFamilial hypercholesterolemiachemistry.chemical_compoundngsmedicinepcsk9MultidisciplinaryMassive parallel sequencingfamilial hypercholesterolemiabiologyCholesterolPCSK9QAutosomal dominant traitmedicine.diseasechemistryapobLDL receptorbiology.proteinlipids (amino acids peptides and proteins)Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences.
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Exploring the diversity of the human blood virome

2021

This article belongs to the Special Issue Virus Bioinformatics 2022.

PegivirusDiseaseGenome ViralMicrobiologyGenomeVirusArticleVirologyPegivirusHumansHuman viromeVirus discoveryMassive parallel sequencingbiologyBlood viromeViromebiology.organism_classificationAnellovirusQR1-502Healthy VolunteersOrphan virusInfectious DiseasesEvolutionary biologyMetagenomicsSpainVirusesMetagenomicsOrphan virusorphan virus; blood virome; anellovirus; pegivirus; virus discovery; metagenomics
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Investigation of protein folding by coarse-grained molecular dynamics with the UNRES force field.

2010

Coarse-grained molecular dynamics simulations offer a dramatic extension of the time-scale of simulations compared to all-atom approaches. In this article, we describe the use of the physics-based united-residue (UNRES) force field, developed in our laboratory, in protein-structure simulations. We demonstrate that this force field offers about a 4000-times extension of the simulation time scale; this feature arises both from averaging out the fast-moving degrees of freedom and reduction of the cost of energy and force calculations compared to all-atom approaches with explicit solvent. With massively parallel computers, microsecond folding simulation times of proteins containing about 1000 r…

Protein FoldingStaphylococcus aureusRotationMolecular Dynamics SimulationKinetic energyForce field (chemistry)Protein Structure SecondaryArticleMolecular dynamicsMiceProtein structureBacterial ProteinsComputational chemistryAnimalsStatistical physicsPhysical and Theoretical ChemistryMassively parallelQuantitative Biology::BiomoleculesPrincipal Component AnalysisModels StatisticalChemistryProteinsMicrosecondKineticsBundleSolventsThermodynamicsProtein foldingTranscriptional Elongation FactorsCarrier ProteinsAlgorithmsProtein BindingThe journal of physical chemistry. A
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A Constructive Arboricity Approximation Scheme

2020

The arboricity \(\varGamma \) of a graph is the minimum number of forests its edge set can be partitioned into. Previous approximation schemes were nonconstructive, i.e., they approximate the arboricity as a value without computing a corresponding forest partition. This is because they operate on pseudoforest partitions or the dual problem of finding dense subgraphs.

PseudoforestArboricityApproximation algorithm0102 computer and information sciences02 engineering and technology01 natural sciencesConstructiveCombinatoricsSet (abstract data type)Computer Science::Discrete Mathematics010201 computation theory & mathematics0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)Partition (number theory)020201 artificial intelligence & image processingMatroid partitioningComputer Science::Data Structures and AlgorithmsGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)Computer Science::Distributed Parallel and Cluster ComputingMathematicsofComputing_DISCRETEMATHEMATICSMathematics
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On the collision property of chaotic iterations based post-treatments over cryptographic pseudorandom number generators

2018

International audience; There is not a proper mathematical definition of chaos, we have instead a quite big amount of definitions, each of one describes chaos in a more or less general context. Taking in account this, it is clear why it is hard to design an algorithm that produce random numbers, a kind of algorithm that could have plenty of concrete appliceautifat (anul)d bions. However we must use a finite state machine (e.g. a laptop) to produce such a sequence of random numbers, thus it is convenient, for obvious reasons, to redefine those aimed sequences as pseudorandom; also problems arise with floating point arithmetic if one wants to recover some real chaotic property (i.e. propertie…

Pseudorandom number generator020203 distributed computingSequenceFinite-state machineDynamical systems theoryComputer science010102 general mathematicsChaotic[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technology[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation01 natural sciences[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR][INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]0202 electrical engineering electronic engineering information engineering[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]0101 mathematicsBoolean functionAlgorithmRandomnessGenerator (mathematics)2018 IEEE Middle East and North Africa Communications Conference (MENACOMM)
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Further results on generalized centro-invertible matrices

2019

[EN] This paper deals with generalized centro-invertible matrices introduced by the authors in Lebtahi et al. (Appl. Math. Lett. 38, 106¿109, 2014). As a first result, we state the coordinability between the classes of involutory matrices, generalized centro-invertible matrices, and {K}-centrosymmetric matrices. Then, some characterizations of generalized centro-invertible matrices are obtained. A spectral study of generalized centro-invertible matrices is given. In addition, we prove that the sign of a generalized centro-invertible matrix is {K}-centrosymmetric and that the class of generalized centro-invertible matrices is closed under the matrix sign function. Finally, some algorithms ha…

Pure mathematicsClass (set theory)Matrix sign functionCentro-invertible matrices010103 numerical & computational mathematicsSpectral analysisMatrius (Matemàtica)01 natural scienceslaw.inventionMatrix (mathematics)law0101 mathematicsComputer Science::Distributed Parallel and Cluster ComputingMathematicsCentrosymmetric matricesApplied MathematicsNumerical analysisState (functional analysis)INGENIERIA TELEMATICAInverse problem010101 applied mathematicsAnàlisi espectralInvertible matrixTheory of computationInverse problemMATEMATICA APLICADASign (mathematics)
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Energy-Efficiency and Coverage Quality Management for Reliable Diagnostics in Wireless Sensor Networks

2020

International audience; The processing of data and signals provided by sensors aims at extracting rnrelevant features which can be used to assess and diagnose the health state rnof the monitored targets. Nevertheless, Wireless Sensor Networks (WSNs) present rna number of shortcomings that have an impact on the quality of the gathered rndata at the sink level, leading to imprecise diagnostics rnof the observed targets. To improve data accuracy, two main critical and related issues, namely the energy consumption and coverage quality, need to be considered. The goal is to maximize the network lifetime while guaranteeing the complete coverage of all the targets. Unfortunately, these performance…

Quality managementComputer scienceComputer Networks and CommunicationsReal-time computingCorrectness proofs020206 networking & telecommunicationsEnergy consumption02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE][INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science Applications[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Distributed algorithmControl and Systems Engineering[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Data accuracy0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Electrical and Electronic Engineering[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Wireless sensor networkEfficient energy use
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