Search results for " Parallel"

showing 10 items of 224 documents

The Jurassic ammonite Coelocerus: an atypical example of dimorphic progenesis elucidated by cladistics

1994

Instances of convergence or parallelism among unrelated Lower Carixian ammonites are not uncommon. The case of polymorphitid-like ammonites is considered here, and the example of Coeloceras is investigated in detail. The small sexual dimorph (microconch) of Coeloceras pettos (Quensitedt) (Coeloceratidae), a progenetic species, provides a remarkable example of complex convergence with the microconch of Uptonia (Polymorphitidae). Homeomorphic morphology is here an amalgam of juvenile traits, of maturation-related transformations, and of completely new features bearing no obvious relation with either progenesis or maturation. A stratophenetic approach is hardly adequate for unravelling such an…

AmmonitebiologyOr parallelismPaleontologyMorphology (biology)biology.organism_classificationUptonialanguage.human_languageCladisticsSexual dimorphismPaleontologyPhylogeneticslanguagePolymorphitidaeEcology Evolution Behavior and SystematicsLethaia
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Ancestral Reconstruction and Investigations of Genomic Recombination on some Pentapetalae Chloroplasts

2019

Abstract In this article, we propose a semi-automated method to rebuild genome ancestors of chloroplasts by taking into account gene duplication. Two methods have been used in order to achieve this work: a naked eye investigation using homemade scripts, whose results are considered as a basis of knowledge, and a dynamic programming based approach similar to Needleman-Wunsch. The latter fundamentally uses the Gestalt pattern matching method of sequence matcher to evaluate the occurrences probability of each gene in the last common ancestor of two given genomes. The two approaches have been applied on chloroplastic genomes from Apiales, Asterales, and Fabids orders, the latter belonging to Pe…

Ancestral reconstructionMost recent common ancestor0206 medical engineeringGenomic recombination02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]Dynamic programmingGenome[INFO.INFO-IU]Computer Science [cs]/Ubiquitous ComputingEvolution Molecular[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]AsteralesGene duplication0202 electrical engineering electronic engineering information engineeringPattern matchingGenome ChloroplastRosaceaeResearch ArticlesPhylogenySequence (medicine)Recombination GeneticbiologyGeneral Medicinebiology.organism_classification[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationAncestral genome reconstructionApialesEvolutionary biology[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]020201 artificial intelligence & image processing[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Pentapetalae chloroplasts020602 bioinformaticsTP248.13-248.65BiotechnologyJournal of Integrative Bioinformatics
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A Hardware and Secure Pseudorandom Generator for Constrained Devices

2018

Hardware security for an Internet of Things or cyber physical system drives the need for ubiquitous cryptography to different sensing infrastructures in these fields. In particular, generating strong cryptographic keys on such resource-constrained device depends on a lightweight and cryptographically secure random number generator. In this research work, we have introduced a new hardware chaos-based pseudorandom number generator, which is mainly based on the deletion of an Hamilton cycle within the $N$ -cube (or on the vectorial negation), plus one single permutation. We have rigorously proven the chaotic behavior and cryptographically secure property of the whole proposal: the mid-term eff…

Applied cryptography; Chaotic circuits; Constrained devices; Discrete dynamical systems; FPGA; Lightweight Cryptography; Random number generators; Statistical tests; Control and Systems Engineering; Information Systems; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringHardware security moduleComputer scienceRandom number generationCryptography[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technologyPseudorandom generatorConstrained devicesLightweight CryptographyChaotic circuits[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]PermutationRandom number generatorsStatistical tests0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringField-programmable gate arrayThroughput (business)FPGAPseudorandom number generatorGenerator (category theory)business.industry020208 electrical & electronic engineeringComputer Science Applications1707 Computer Vision and Pattern Recognition020206 networking & telecommunicationsDiscrete dynamical systems[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science ApplicationsApplied cryptography[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Control and Systems EngineeringKey (cryptography)[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessComputer hardwareInformation SystemsIEEE Transactions on Industrial Informatics
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Why Cortices ? Neural Computation in the Vertebrate Visual System

1989

We propose three high level structural principles of neural networks in the vertebrate visual cortex and discuss some of their computational implications for early vision: a) Lamination, average axonal and dendritic domains, and intrinsic feedback determine the spatio-temporal interactions in cortical processing. Possible applications of the resulting filters include continuous motion perception and the direct measurement of high-level parameters of image flow, b) Retinotopic mapping is an emergent property of massively parallel connections. With a local intrinsic operation in the target area, mapping combines to a space-variant image processing system as would be useful in the analysis of …

Artificial neural networkComputer sciencebusiness.industryProperty (programming)Optical flowPattern recognitionImage processingVisual cortexmedicine.anatomical_structureModels of neural computationmedicineMotion perceptionArtificial intelligencebusinessMassively parallel
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Efficient distributed average consensus in wireless sensor networks

2020

International audience; Computing the distributed average consensus in Wireless Sensor Networks (WSNs) is investigated in this article. This problem, which is both natural and important, plays a significant role in various application fields such as mobile agents and fleet vehicle coordination, network synchronization, distributed voting and decision, load balancing of divisible loads in distributed computing network systems, and so on. By and large, the average consensus' objective is to have all nodes in the network converged to the average value of the initial nodes' measurements based only on local nodes' information states. In this paper, we introduce a fully distributed algorithm to a…

AtomicitySpeedupComputer Networks and CommunicationsSynchronization networksComputer sciencebusiness.industry020206 networking & telecommunications[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technologyEnergy consumptionLoad balancing (computing)[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Consensus[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Distributed algorithm0202 electrical engineering electronic engineering information engineering[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]020201 artificial intelligence & image processing[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessWireless sensor networkComputer networkComputer Communications
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Many-body perturbation theory calculations using the yambo code

2019

Abstract yambo is an open source project aimed at studying excited state properties of condensed matter systems from first principles using many-body methods. As input, yambo requires ground state electronic structure data as computed by density functional theory codes such as Quantum ESPRESSO and Abinit. yambo’s capabilities include the calculation of linear response quantities (both independent-particle and including electron–hole interactions), quasi-particle corrections based on the GW formalism, optical absorption, and other spectroscopic quantities. Here we describe recent developments ranging from the inclusion of important but oft-neglected physical effects such as electron–phonon i…

BETHE-SALPETER EQUATION02 engineering and technology01 natural sciencesSoftwarereal-time dynamicsGeneral Materials Sciencequasi-particleCondensed Matter - Materials Scienceparallelismelectron-phononreal-time dynamicComputational Physics (physics.comp-ph)021001 nanoscience & nanotechnologySupercomputerMANY-BODY PERTURBATION THEORYCondensed Matter Physicsbethe-salpeter-equationoptical-propertiesoptical propertietemperature-dependence[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]User interface0210 nano-technologyGround statePhysics - Computational Physicsoptical propertiesmonte-carloMaterials scienceExploitFOS: Physical sciencesabinitSettore FIS/03 - Fisica della MateriaComputational scienceKerr effect0103 physical scienceskerr effect010306 general physicselectronic excitationsTHEORETICAL SPECTROSCOPYpolarizationspin and spinorsbusiness.industrysoftwareMaterials Science (cond-mat.mtrl-sci)Rangingelectronic structureABINITInterfacingelectron-phonon; electronic structure; Kerr effect; optical properties; parallelism; real-time dynamics; spin and spinorsbusinessabsorption
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Construction of Disjoint Virtual Backbones for Wireless Sensor Networks

2020

A wireless sensor network is a wireless network of sensors aimed at monitoring physical events. It has ingratiated itself into almost all areas of human endeavors. Data dissemination in these networks is quite challenging and is generally accomplished by flooding. But flooding introduces broadcast storm problem due from implosion and overlap. To overcome this, topology management can prescribe a virtual backbone network to which routing is confined. In this paper we propose an algorithm that constructs multiple disjoint virtual backbone networks, using only nodes' locations. The disjointedness makes routing more robust and the network exploitation energy efficient. Simulations show our algo…

Backbone networkWireless networkbusiness.industryComputer scienceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS05 social sciences030204 cardiovascular system & hematologyConnected dominating setFlooding (computer networking)03 medical and health sciences[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]0302 clinical medicine0502 economics and business050211 marketingRouting (electronic design automation)[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Broadcast radiationbusinessWireless sensor networkDisseminationComputingMilieux_MISCELLANEOUSComputer network
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Bayesian hierarchical models for analysing the spatial distribution of bioclimatic indices

2017

A methodological approach for modelling the spatial distribution of bioclimatic indices is proposed in this paper. The value of the bioclimatic index is modelled with a hierarchical Bayesian model that incorporates both structured and unstructured random effects. Selection of prior distributions is also discussed in order to better incorporate any possible prior knowledge about the parameters that could refer to the particular characteristics of bioclimatic indices. MCMC methods and distributed programming are used to obtain an approximation of the posterior distribution of the parameters and also the posterior predictive distribution of the indices. One main outcome of the proposal is the …

Bioclimatologia:62 Statistics::62M Inference from stochastic processes [Classificació AMS]BioclimatologyBioclimatology geostatistics parallel computation spatial prediction:62 Statistics::62P Applications [Classificació AMS]62F15 62M30 62P10 62P12 86A32Estadística bayesiana:Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC]spatial prediction:62 Statistics::62F Parametric inference [Classificació AMS]geostatistics:86 Geophysics [Classificació AMS]parallel computation
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CRiSPy-CUDA: Computing Species Richness in 16S rRNA Pyrosequencing Datasets with CUDA

2011

Pyrosequencing technologies are frequently used for sequencing the 16S rRNA marker gene for metagenomic studies of microbial communities. Computing a pairwise genetic distance matrix from the produced reads is an important but highly time consuming task. In this paper, we present a parallelized tool (called CRiSPy) for scalable pairwise genetic distance matrix computation and clustering that is based on the processing pipeline of the popular ESPRIT software package. To achieve high computational efficiency, we have designed massively parallel CUDA algorithms for pairwise k-mer distance and pairwise genetic distance computation. We have also implemented a memory-efficient sparse matrix clust…

CUDADistance matrixComputer scienceMetagenomicsPipeline (computing)Pairwise comparisonParallel computingCluster analysisQuantitative Biology::GenomicsMassively parallelSparse matrix
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Computational Methods for Gene Expression Profiling Using Next-Generation Sequencing (RNA-Seq)

2014

Cancer genome sequencingMassive parallel sequencingSingle cell sequencingComputational biologyBiologyBioinformaticsDeep sequencingExome sequencingDNA sequencingIllumina dye sequencingMassively parallel signature sequencing
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