Search results for "Cluster computing"

showing 10 items of 120 documents

"Table 27" of "Tuning and test of fragmentation models based on identified particles and precision event shape data."

1996

Differential 2-jet rate for the Durham Algorithm. Corrected to final state particles. YCUT is the jet finding cutt-off parameter.

Dijet ProductionDN/DSIGAstrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringExclusiveHigh Energy Physics::Experiment91.2Single Differential DistributionJet ProductionE+ E- --> 2JETComputer Science::Distributed Parallel and Cluster Computing
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Online Scheduling of Task Graphs on Heterogeneous Platforms

2020

Modern computing platforms commonly include accelerators. We target the problem of scheduling applications modeled as task graphs on hybrid platforms made of two types of resources, such as CPUs and GPUs. We consider that task graphs are uncovered dynamically, and that the scheduler has information only on the available tasks, i.e., tasks whose predecessors have all been completed. Each task can be processed by either a CPU or a GPU, and the corresponding processing times are known. Our study extends a previous $4\sqrt{m/k}$ 4 m / k -competitive online algorithm by Amaris et al. [1] , where $m$ m is the number of CPUs and $k$ k the number of GPUs ( $m\geq k$ m ≥ k ). We prove that no online…

Discrete mathematics[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]020203 distributed computingScheduleCompetitive analysisComputer scienceHeuristicSchedulingOnline algorithmsProcessor schedulingSymmetric multiprocessor system02 engineering and technologyUpper and lower boundsGraphScheduling (computing)Computational Theory and MathematicsHardware and ArchitectureSignal Processing0202 electrical engineering electronic engineering information engineeringTask analysisTask graphsHeterogeneous computingOnline algorithm[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]
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Performance analysis of optical imaging systems based on the fractional fourier transform

1998

Some image quality parameters, such as the Strehl ratio and the optical transfer function, are analysed in the generalized phase-space, or x-p domain, of the fractional Fourier transform associated with a modified one-dimensional pupil function. Some experimental results together with computer simulations are performed which illustrate the tolerance to defocus of different apertures.

Discrete-time Fourier transformStrehl ratioIngenieríaDiscrete Fourier transformsymbols.namesakePupil functionOpticsOptical transfer functionPupil functionComputer Science::Distributed Parallel and Cluster ComputingCiencias ExactasPhysicsbusiness.industryPhysicsAstrophysics::Instrumentation and Methods for AstrophysicsShort-time Fourier transformStrehl ratioOpticsDiscrete Fourier transformFourier analysisAtomic and Molecular Physics and OpticsFractional Fourier transformFractional Fourier transformOptical transfer functionFourier analysisShort-time Fourier transformsymbolsbusinessDiscrete-time Fourier transformJournal of Modern Optics
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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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"Table 16" 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 Section91.2Jet ProductionCross SectionSIGInclusiveE+ E- --> 5JET XE+ E- ScatteringExclusiveHigh Energy Physics::ExperimentR measurementComputer Science::Distributed Parallel and Cluster Computing
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