Search results for "Hard"

showing 10 items of 2294 documents

Balls into non-uniform bins

2014

Balls-into-bins games for uniform bins are widely used to model randomized load balancing strategies. Recently, balls-into-bins games have been analysed under the assumption that the selection probabilities for bins are not uniformly distributed. These new models are motivated by properties of many peer-to-peer (P2P) networks, which are not able to perfectly balance the load over the bins. While previous evaluations try to find strategies for uniform bins under non-uniform bin selection probabilities, this paper investigates heterogeneous bins, where the "capacities" of the bins might differ significantly. We show that heterogeneous environments can even help to distribute the load more eve…

Discrete mathematicsMathematical optimizationComputational complexity theoryComputer Networks and CommunicationsComputer scienceDistributed computingAstrophysics::Cosmology and Extragalactic AstrophysicsPhysics::Data Analysis; Statistics and ProbabilityLoad balancing (computing)BinTheoretical Computer ScienceLoad managementCapacity planningArtificial IntelligenceHardware and ArchitectureTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYBounded functionBall (bearing)Resource allocationHardware_ARITHMETICANDLOGICSTRUCTURESGame theorySoftwareMathematicsMathematicsofComputing_DISCRETEMATHEMATICS2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS)
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Polynomial method to study the entanglement of pure N-qubit states

2009

We present a mapping which associates pure N-qubit states with a polynomial. The roots of the polynomial characterize the state completely. Using the properties of the polynomial we construct a way to determine the separability and the number of unentangled qubits of pure N-qubit states.

Discrete mathematicsPhysicsPolynomialQuantum PhysicsQuantum t-designSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciCluster stateFOS: Physical sciencesQuantum entanglementQuantum PhysicsPolinomiMeccanica quantisticaAtomic and Molecular Physics and OpticsSettore FIS/03 - Fisica Della MateriaEntanglementSeparable stateComputer Science::Emerging TechnologiesQubitQuantum mechanicsComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONW stateHardware_ARITHMETICANDLOGICSTRUCTURESQuantum Physics (quant-ph)Quantum teleportation
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Multi-valued F-contractions and the solution of certain functional and integral equations

2013

Wardowski [Fixed Point Theory Appl., 2012:94] introduced a new concept of contraction and proved a fixed point theorem which generalizes Banach contraction principle. Following this direction of research, we will present some fixed point results for closed multi-valued F-contractions or multi-valued mappings which satisfy an F-contractive condition of Hardy-Rogers-type, in the setting of complete metric spaces or complete ordered metric spaces. An example and two applications, for the solution of certain functional and integral equations, are given to illustrate the usability of the obtained results.

Discrete mathematicsPure mathematicsGeneral MathematicsInjective metric spacemetric spaceFixed-point theoremFixed pointFixed-point propertyConvex metric spaceUniform continuityClosed multi-valued F-contractionfixed pointFréchet spaceF-contractive condition of Hardy-Rogers-typeSettore MAT/05 - Analisi MatematicaContraction mappingMathematicsordered metric spaces
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Modulus of continuity with respect to semigroups of analytic functions and applications

2016

Abstract Given a complex Banach space E , a semigroup of analytic functions ( φ t ) and an analytic function F : D → E we introduce the modulus w φ ( F , t ) = sup | z | 1 ⁡ ‖ F ( φ t ( z ) ) − F ( z ) ‖ . We show that if 0 α ≤ 1 and F belongs to the vector-valued disc algebra A ( D , E ) , the Lipschitz condition M ∞ ( F ′ , r ) = O ( ( 1 − r ) 1 − α ) as r → 1 is equivalent to w φ ( F , t ) = O ( t α ) as t → 0 for any semigroup of analytic functions ( φ t ) , with φ t ( 0 ) = 0 and infinitesimal generator G , satisfying that φ t ′ and G belong to H ∞ ( D ) with sup 0 ≤ t ≤ 1 ⁡ ‖ φ ′ ‖ ∞ ∞ , and in particular is equivalent to the condition ‖ F − F r ‖ A ( D , E ) = O ( ( 1 − r ) α ) as r …

Discrete mathematicsPure mathematicsSemigroupApplied Mathematics010102 general mathematicsBanach spaceHardy spaceType (model theory)Lipschitz continuity01 natural sciencesModulus of continuity010101 applied mathematicssymbols.namesakesymbolsInfinitesimal generator0101 mathematicsAnalysisMathematicsAnalytic functionJournal of Mathematical Analysis and Applications
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Randomized renaming in shared memory systems.

2021

Abstract Renaming is a task in distributed computing where n processes are assigned new names from a name space of size m . The problem is called tight if m = n , and loose if m > n . In recent years renaming came to the fore again and new algorithms were developed. For tight renaming in asynchronous shared memory systems, Alistarh et al. describe a construction based on the AKS network that assigns all names within O ( log n ) steps per process. They also show that, depending on the size of the name space, loose renaming can be done considerably faster. For m = ( 1 + ϵ ) ⋅ n and constant ϵ , they achieve a step complexity of O ( log log n ) . In this paper we consider tight as well as loos…

Discrete mathematicsShared memory modelSpeedupComputer Networks and CommunicationsComputer science020206 networking & telecommunications02 engineering and technologyParallel computingTheoretical Computer ScienceRandomized algorithmTask (computing)Constant (computer programming)Shared memoryArtificial IntelligenceHardware and ArchitectureAsynchronous communicationDistributed algorithm0202 electrical engineering electronic engineering information engineeringOverhead (computing)020201 artificial intelligence & image processingSoftware
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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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Embedding of analytic function spaces with given mean growth of the derivative

2006

MSC (2000) 30D55 If φ is a positive function defined in (0,1) and 0 <p< ∞, we consider the space L(p, φ) which consists of all functions f analytic in the unit disc D for which the integral means of the derivative Mp(r, f � )= " 1 2π Rπ −π þ f � (re iθ ) þ p dθ "1/p , 0 <r< 1, satisfy M p(r, f � )=O (φ(r)) ,a sr → 1. In this paper, for any given p ∈ (0,1), we characterize the functions φ, among a certain class of weight functions, to be able to embedd L(p, φ) into classical function spaces. These results complement other previously obtained by the authors for p ≥ 1. c

Discrete mathematicssymbols.namesakeComplement (group theory)Function spaceGeneral MathematicssymbolsEmbeddingDerivativeHardy spaceSpace (mathematics)Unit (ring theory)MathematicsAnalytic functionMathematische Nachrichten
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172 REAL TIME EDGES DETECTION USING WAVELET TRANSFORM

2000

One of the way to extract edges uses the fast wavelet transform algorithm. This technique allows the detection of multiscale edges and is used to detect all the details, which are in a picture by modifying the scale. The real time application for edge detection involves the implementation of the algorithm on an integrated circuit like a FPGA and the development of an appropriated board. This article deals about the implementation of a wavelet transform algorithm onto a FPGA and development of an electronic board to detect multiscale edges.

Discrete wavelet transformbusiness.industryComputer scienceSecond-generation wavelet transformStationary wavelet transformWavelet transformWavelet packet decompositionComputer Science::Hardware ArchitectureWaveletComputer visionArtificial intelligenceHarmonic wavelet transformFast wavelet transformbusinessJournal of the Visualization Society of Japan
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The differences between distributed shared memory caching and proxy caching

2000

The authors discuss the similarities in caching between the extensively studied distributed shared memory systems and the emerging proxy systems. They believe that several of the techniques used in distributed shared memory systems can be adapted and applied to proxy systems.

Distributed shared memoryHardware_MEMORYSTRUCTURESShared memoryComputer scienceShared disk architectureDistributed computingGeneral EngineeringInterleaved memoryFalse sharingUniform memory accessDistributed memoryData diffusion machineIEEE Concurrency
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Programming languages for data-Intensive HPC applications: A systematic mapping study

2020

This work is a result of activities from COST Action 10406 High -Performance Modelling and Simulation for Big Data Applications (cHiPSet), funded by the European Cooperation in Science and Technology. FCT, Portugal for grants: NOVA LINCS Research Laboratory Ref. UID/ CEC/ 04516/ 2019); INESC-ID Ref. UID/CEC/50021/2019; BioISI Ref. UID/MULTI/04046/2103; LASIGE Research Unit Ref. UID/CEC/00408/ 2019. A major challenge in modelling and simulation is the need to combine expertise in both software technologies and a given scientific domain. When High-Performance Computing (HPC) is required to solve a scientific problem, software development becomes a problematic issue. Considering the complexity…

Domain-Specific language (DSL)High performance computing (HPC)Computer scienceComputer Networks and CommunicationsBig data; Data-intensive applications; Domain-Specific language (DSL); General-Purpose language (GPL); High performance computing (HPC); Programming languages; Systematic mapping study (SMS)Systematic mapping study (SMS)Big dataData-intensive applicationsContext (language use)computer.software_genreTheoretical Computer ScienceSoftware portabilityBig dataSoftwareArtificial Intelligencebusiness.industryProgramming languageSoftware developmentGeneral-Purpose language (GPL)UsabilityProgramming languagesDigital libraryComputer Graphics and Computer-Aided DesignHardware and ArchitecturebusinesscomputerSoftware
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