Search results for "Parallel"

showing 10 items of 667 documents

Bilabiate Flowers: The Ultimate Response to Bees?

2007

† Background and Aims Bilabiate flowers have evolved in many lineages of the angiosperms, thus representing a convincing example of parallel evolution. Similar to keel blossoms, they have obviously evolved in order to protect pollen against pollen-collecting bees. Although many examples are known, a comprehensive survey on floral diversity and functional constraints of bilabiate flowers is lacking. Here, the concept is widened and described as a general pattern. † Methods The present paper is a conceptional review including personal observations of the authors. To form a survey on the diversity of bilabiate blossoms, a search was made for examples across the angiosperms and these were combi…

DorsumPollinationEcologyLamialesBiodiversityFeeding BehaviorFlowersPlant ScienceBeesBiologybiology.organism_classificationmedicine.disease_causeBiological EvolutionMagnoliopsidaInflorescencePollenmedicineAnimalsPollenGeneral patternFunctional significanceParallel evolutionFloral Biology of the LamiaceaeAnnals of Botany
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Determination of Pareto frontier in multi-objective maintenance optimization

2011

Abstract The objective of a maintenance policy generally is the global maintenance cost minimization that involves not only the direct costs for both the maintenance actions and the spare parts, but also those ones due to the system stop for preventive maintenance and the downtime for failure. For some operating systems, the failure event can be dangerous so that they are asked to operate assuring a very high reliability level between two consecutive fixed stops. The present paper attempts to individuate the set of elements on which performing maintenance actions so that the system can assure the required reliability level until the next fixed stop for maintenance, minimizing both the globa…

DowntimeEngineeringOptimization problemOperations researchbusiness.industryConstrained optimizationPareto principleMulti-objective optimizationPreventive maintenanceIndustrial and Manufacturing EngineeringSpare partMaintenance actionsMaintenance optimization Multi-objective optimization Reliability Series–parallel systemsSafety Risk Reliability and QualitybusinessReliability Engineering & System Safety
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Accelerating short read mapping on an FPGA (abstract only)

2012

The explosive growth of short read datasets produced by high throughput DNA sequencing technologies poses a challenge to the mapping of short reads to a reference genome in terms of sensitivity and execution speed. Existing methods often use a restrictive error model for computing the alignments to improve speed, whereas more flexible error models are generally too slow for large-scale applications. Although a number of short read mapping software tools have been proposed, designs based on hardware are relatively rare. In this paper, we present a hybrid system for short read mapping utilizing both software and field programmable gate array (FPGA)-based hardware. The compute intensive semi-g…

Dynamic programmingSpeedupSoftwareParallel processing (DSP implementation)Computer sciencebusiness.industryHybrid systemSensitivity (control systems)Parallel computingShort readbusinessField-programmable gate arrayProceedings of the ACM/SIGDA international symposium on Field Programmable Gate Arrays
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A distributed dynamic load balancer and its implementation on multi-transputer systems for molecular dynamics simulation

1990

Abstract A new and efficient approach is described to the dynamic load-balancing problem which is central in concurrent computing. A transputer-based implementation is tested on a molecular dynamics simulation of spinodal phase separation.

Dynamic simulationSpinodalMolecular dynamicsPhase transitionHardware and ArchitectureSpinodal decompositionComputer scienceTransputerGeneral Physics and AstronomyConcurrent computingParallel computingDynamic load testingComputer Physics Communications
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"Table 14" of "Studies of quantum chromodynamics with the ALEPH detector"

1997

Measure n-jet rates using the Durham cluster algorithm as a function of thejet-resolution parameter YCUT.

E+ E- --> 3JET XE+ E- --> HADRONSE+ E- --> Z0Integrated Cross Section91.2Jet ProductionCross SectionSIGInclusiveE+ E- ScatteringExclusiveHigh Energy Physics::ExperimentR measurementComputer Science::Distributed Parallel and Cluster Computing
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"Table 21" of "Measurement of event shape and inclusive distributions at s**(1/2) = 130-GeV and 136-GeV."

1997

4-jet rate for the Durham Algorithm.

E+ E- --> 4JET133.0Astrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringIntegrated Cross SectionExclusiveHigh Energy Physics::ExperimentJet ProductionCross SectionSIGComputer Science::Distributed Parallel and Cluster Computing
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"Table 31" of "Tuning and test of fragmentation models based on identified particles and precision event shape data."

1996

Differential 4-jet rate for the Durham Algorithm. Corrected to final state particles. YCUT is the jet finding cutt-off parameter.

E+ E- --> 4JETDN/DSIGAstrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringExclusiveHigh Energy Physics::Experiment91.2Single Differential DistributionJet ProductionComputer Science::Distributed Parallel and Cluster Computing
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"Table 22" of "Measurement of event shape and inclusive distributions at s**(1/2) = 130-GeV and 136-GeV."

1997

5-jet rate for the Durham Algorithm.

E+ E- --> 5JET133.0Astrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringIntegrated Cross SectionExclusiveHigh Energy Physics::ExperimentJet ProductionCross SectionSIGComputer Science::Distributed Parallel and Cluster Computing
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"Table 13" of "Studies of quantum chromodynamics with the ALEPH detector"

1997

Measure n-jet rates using the Durham cluster algorithm as a function of thejet-resolution parameter YCUT.

E+ E- --> HADRONSE+ E- --> Z0Integrated Cross Section91.2E+ E- --> 2JET XJet ProductionCross SectionSIGInclusiveDijet ProductionE+ E- ScatteringExclusiveHigh Energy Physics::ExperimentR measurementComputer Science::Distributed Parallel and Cluster Computing
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"Table 15" of "Studies of quantum chromodynamics with the ALEPH detector"

1997

Measure n-jet rates using the Durham cluster algorithm as a function of thejet-resolution parameter YCUT.

E+ E- --> HADRONSE+ E- --> Z0Integrated Cross Section91.2E+ E- --> 4JET XJet ProductionCross SectionSIGInclusiveE+ E- ScatteringExclusiveHigh Energy Physics::ExperimentR measurementComputer Science::Distributed Parallel and Cluster Computing
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