Search results for "Computer Science::Operating Systems"

showing 9 items of 29 documents

M9_Microfluidics_for_CNT

2018

The droplets in contact coalesce when exposed to DEP filed.

Physics::Fluid DynamicsDEPelectrocoalescencePhysics::Atomic and Molecular ClustersmicrofluidicsQuantitative Biology::Populations and EvolutionComputer Science::Operating SystemsPhysics::History of Physics
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Neutrino beam flux prediction 2013

2013

This data release is superseded by the flux release in 2016. The files in the following archive file contain the neutrino beam flux predictions for the T2K ND280 (near) and Super-Kamiokande (far) detectors. The description of the flux predictions is published in Phys. Rev. D.87.012001. The provided flux predictions include no neutrino oscillations. This tar file contains the flux predictions as well as a README.pdf file with detailed information on the included files.

Physics::Instrumentation and DetectorsAstrophysics::High Energy Astrophysical PhenomenaHigh Energy Physics::ExperimentComputer Science::Operating Systems
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Two Job Cyclic Scheduling with Incompatibility Constraints

2001

The present paper deals with the problem of scheduling several repeated occurrences of two jobs over a finite or infinite time horizon in order to maximize the yielded profit. The constraints of the problem are the incompatibilities between some pairs of tasks which require a same resource.

Rate-monotonic schedulingMathematical optimizationJob shop schedulingComputer scienceStrategy and ManagementDistributed computingFlow shop schedulingDynamic priority schedulingManagement Science and Operations ResearchFair-share schedulingMultiprocessor schedulingComputer Science ApplicationsNurse scheduling problemManagement of Technology and InnovationTwo-level schedulingBusiness and International ManagementComputer Science::Operating Systems
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An Evolution of the Non-Parameter Harris Affine Corner Detector: A Distributed Approach

2009

A parallel version of a new automatic Harris-based corner detector is presented. A scheduler to dynamically and homogeneously distribute high computational workload on heterogeneous parallel architectures such as Grid systems has been implemented to speedup the whole procedure. Experimental results show the robustness of the underlying scheduler, which can be easily exploited in various automatic image analysis systems.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSpeedupSettore INF/01 - InformaticaComputer scienceDetectorFeature extractionYarnParallel computingEdge detectionGrid AlgorithmCorner DetectorScheduling (computing)Robustness (computer science)Adaptive Schedulingvisual_artvisual_art.visual_art_mediumAffine transformationClient-server ParadigmComputer Science::Operating Systems2009 International Conference on Parallel and Distributed Computing, Applications and Technologies
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Additional file 4 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning…

2021

Additional file 4. Distributions of the variables at baseline before and after multiple imputations.

Statistics::ApplicationsStatistics::MethodologyQuantitative Biology::GenomicsComputer Science::Operating Systems
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Data for: Decorous Combinatorial Lower Bounds for Row Layout Problems

2021

Files of the new randomly generated instancesnlengths of the departmentsmatrix with the transport weights THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE

Statistics::Other StatisticsInterdisciplinary sciencesOtherComputer Science::Operating SystemsFacility LayoutInteger Programming
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Optimal Configuration for N-Dimensional Twin Torus Networks

2014

Torus topology is one of the most common topologies used in the current largest supercomputers. Although 3D torus is widely used, recently some supercomputers in the Top500 list have been built using networks with topologies of five or six dimensions. To obtain an nD torus, 2n ports per node are needed. These ports can be offered by a single or several cards per node. In the second case, there are multiple ways of assigning the dimension and direction of the card ports. In a previous work we proposed the 3D Twin (3DT) torus which uses two 4-port cards per node, and obtained the optimal port configuration. This paper extends and generalizes that work in order to obtain the optimal port confi…

TOP500ComputerSystemsOrganization_COMPUTERSYSTEMIMPLEMENTATIONComputer scienceDimension (graph theory)Node (circuits)Topology (electrical circuits)Algorithm designTorusParallel computingRouting (electronic design automation)Network topologyTopologyComputer Science::Operating Systems2014 IEEE 13th International Symposium on Network Computing and Applications
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Scheduling independent stochastic tasks under deadline and budget constraints

2018

This article discusses scheduling strategies for the problem of maximizing the expected number of tasks that can be executed on a cloud platform within a given budget and under a deadline constraint. The execution times of tasks follow independent and identically distributed probability laws. The main questions are how many processors to enroll and whether and when to interrupt tasks that have been executing for some time. We provide complexity results and an asymptotically optimal strategy for the problem instance with discrete probability distributions and without deadline. We extend the latter strategy for the general case with continuous distributions and a deadline and we design an ef…

[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]Mathematical optimizationOperations researchComputer science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Cloud computing[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technologyExpected valueTheoretical Computer ScienceScheduling (computing)[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]deadline0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]schedulingComputer Science::Operating SystemsComputingMilieux_MISCELLANEOUSBudget constraint020203 distributed computingcloud platformindependent tasksbusiness.industry[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationstochastic costAsymptotically optimal algorithmContinuous distributions[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Hardware and ArchitectureProbability distribution[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]020201 artificial intelligence & image processingInterrupt[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessSoftwarebudget
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Scheduling under the network of temporo-spatial proximity relationships

2017

We discuss and introduce to the schedulingeld a novel, qualitative optimization model - scheduling under the network of temporo-spatial proximity relationships.We introduce a half perimeter proximity measure as an objective of scheduling.We present and evaluate an incremental Sequence Pair neighborhood evaluation algorithm, applicable to both scheduling and rectangle packing problems in VLSI industry. In this paper, we discuss and introduce to the scheduling field a novel optimization objective - half perimeter proximity measure in scheduling under the network of temporo-spatial proximity relationships. The presented approach enables to qualitatively express various reasons of scheduling ce…

proximity relationshipsMathematical optimizationGeneral Computer Sciencerectangle packing problemEvaluation algorithm0102 computer and information sciences02 engineering and technologyIntegrated circuitManagement Science and Operations Research01 natural scienceslaw.inventionScheduling (computing)lawApproximation error0202 electrical engineering electronic engineering information engineeringschedulingComputer Science::Operating SystemsMathematicsVery-large-scale integrationProximity measureneighborhood evaluation010201 computation theory & mathematicsModeling and Simulation020201 artificial intelligence & image processingsequence pairRectangle packingComputers & Operations Research
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