Search results for "Hardware architecture"

showing 10 items of 120 documents

GAPPCO: An Easy to Configure Geometric Algebra Coprocessor Based on GAPP Programs

2017

Because of the high numeric complexity of Geometric Algebra, its use in engineering applications relies heavily on tools and devices for efficient implementations. In this article, we present a novel hardware design for a Geometric Algebra coprocessor, called GAPPCO, which is based on Geometric Algebra Parallelism Programs (GAPP). GAPPCO is a design for a coprocessor combining the advantages of optimizing software with a configurable hardware able to implement arbitrary Geometric Algebra algorithms. The idea is to have a fixed hardware easily and fast to be configured for different algorithms. We describe the new hardware design together with the complete tool chain for its configuration.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniCoprocessorTheoretical computer sciencebusiness.industryApplied MathematicsConfigurable hardware02 engineering and technologyParallel computing01 natural sciences020202 computer hardware & architectureComputer Science::Hardware ArchitectureGeometric algebraSoftwareChain (algebraic topology)0103 physical sciencesGeometric Algebra Geometric Algebra computing Gaalop GAPP GAPPCO0202 electrical engineering electronic engineering information engineeringParallelism (grammar)GapP010307 mathematical physicsbusinessImplementationMathematicsAdvances in Applied Clifford Algebras
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Hardware and Software Platforms for Distributed Computing on Resource Constrained Devices

2014

The basic idea of distributed computing is that it is possible to solve a large problem by using the resources of various computing devices connected in a network. Each device interacts with each other in order to process a part of a problem, contributing to the achievement of a global solution. Wireless sensor networks (WSNs) are an example of distributed computing on low resources devices. WSNs encountered a considerable success in many application areas. Due to the constraints related to the small sensor nodes capabilities, distributed computing in WSNs allows to perform complex tasks in a collaborative way, reducing power consumption and increasing battery life. Many hardware platforms …

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniHardware architectureComputer sciencebusiness.industryProcess (engineering)Distributed computingSoftware DevelopmentAppicationsEnergy consumptionDistributed design patternsSoftwareSoftware deploymentDistributed algorithmResource Constrained DeviceResource managementDistributed ComputingbusinessWireless sensor networkWireless Sensor NetworkComputer hardware
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Design and Validation of a FPGA-Based HIL Simulator for Minimum Losses Control of a PMSM

2021

This work examines the FPGA programmable logic platforms applied to minimum losses control of a Permanent Magnet Synchronous Motor (PMSM), which represents a flexible solution for the implementation of an advanced digital control algorithm, given their intrinsic parallel structure and the capability to be directly reprogrammable in the field. In particular, design and validation of a FPGA-based Hardware-In-the-Loop (HIL) simulator is proposed, by investigating about data format, quantization and discretization effects and other issues arising during the experimental validation of a controller prototype, in order to reduce the embedded software development cycle and test control systems. The…

SimulationsComputer scienceHardware-in-the-loop simulationSettore ING-INF/01 - ElettronicaElectrical drivesProgrammable logic deviceComputer Science::Hardware ArchitectureEmbedded softwareSettore ING-INF/04 - AutomaticaControl theoryControl systemHardware-in-the-loopPMSMDigital controlField-programmable gate arrayQuantization (image processing)SimulationFPGA
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Importance of the Window Function Choice for the Predictive Modelling of Memristors

2021

Window functions are widely employed in memristor models to restrict the changes of the internal state variables to specified intervals. Here, we show that the actual choice of window function is of significant importance for the predictive modelling of memristors. Using a recently formulated theory of memristor attractors, we demonstrate that whether stable fixed points exist depends on the type of window function used in the model. Our main findings are formulated in terms of two memristor attractor theorems, which apply to broad classes of memristor models. As an example of our findings, we predict the existence of stable fixed points in Biolek window function memristors and their absenc…

State variableComputer science02 engineering and technologyMemristorType (model theory)Fixed pointTopologyWindow functionlaw.inventionPredictive modelsComputer Science::Hardware ArchitectureComputer Science::Emerging TechnologiesMathematical modellawAttractor0202 electrical engineering electronic engineering information engineeringEvolution (biology)Electrical and Electronic EngineeringPolarity (mutual inductance)threshold voltage020208 electrical & electronic engineeringmemristive systemsBiological system modeling020206 networking & telecommunicationsWindow functionmemristorsIntegrated circuit modelingPredictive modellingIEEE Transactions on Circuits and Systems Ii-Express Briefs
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Selfish vs. Unselfish Optimization of Network Creation

2005

We investigate several variants of a network creation model: a group of agents builds up a network between them while trying to keep the costs of this network small. The cost function consists of two addends, namely (i) a constant amount for each edge an agent buys and (ii) the minimum number of hops it takes sending messages to other agents. Despite the simplicity of this model, various complex network structures emerge depending on the weight between the two addends of the cost function and on the selfish or unselfish behaviour of the agents.

Statistics and ProbabilityNetworking and Internet Architecture (cs.NI)FOS: Computer and information sciencesGroup (mathematics)Computer sciencemedia_common.quotation_subjectStatistical and Nonlinear PhysicsFunction (mathematics)Complex networkTopologyComputer Science - Networking and Internet ArchitectureHardware Architecture (cs.AR)Computer Science - Multiagent SystemsSimplicityEnhanced Data Rates for GSM EvolutionStatistics Probability and UncertaintyConstant (mathematics)Computer Science - Hardware Architecturemedia_commonMultiagent Systems (cs.MA)
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A New Approach to the Modeling of Anisotropic Media with the Transmission Line Matrix Method

2021

A reformulation of the Transmission Line Matrix (TLM) method is presented to model non-dispersive anisotropic media. Two TLM-based solutions to solve this problem can already be found in the literature, each one with an interesting feature. One can be considered a more conceptual approach, close to the TLM fundamentals, which identifies each TLM in Maxwell’s equations with a specific line. But this simplicity is achieved at the expense of an increase in the memory storage requirements of a general situation. The second existing solution is a more powerful and general formulation that avoids this increase in memory storage. However, it is based on signal processing techniques and considerabl…

TK7800-8360Computer Networks and CommunicationsComputer scienceDiagonalTransmission-line matrix methodComputer Science::Hardware ArchitectureMatrix (mathematics)Transmission lineComponent (UML)Anisotropic mediaElectrical and Electronic EngineeringOnes electromagnètiquesSignal processingElectromagnetisme Mesuramentslow-frequency numerical methodsLow-frequency numerical methodsStub (electronics)Hardware and ArchitectureControl and Systems EngineeringSignal ProcessingLine (geometry)TLM methodElectronicsanisotropic mediaAlgorithmElectronics
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Layout influence on microwave performance of graphene field effect transistors

2018

The authors report on an in-depth statistical and parametrical investigation on the microwave performance of graphene FETs on sapphire substrate. The devices differ for the gate-drain/source distance and for the gate length, having kept instead the gate width constant. Microwave S -parameters have been measured for the different devices. Their results demonstrate that the cut-off frequency does not monotonically increase with the scaling of the device geometry and that it exists an optimal region in the gate-drain/source and gate-length space which maximises the microwave performance.

TechnologyMaterials science02 engineering and technologyHardware_PERFORMANCEANDRELIABILITYSettore ING-INF/01 - Elettronica01 natural scienceslaw.inventionComputer Science::Hardware ArchitectureComputer Science::Emerging Technologieslaw0103 physical sciencesHardware_INTEGRATEDCIRCUITSElectrical and Electronic EngineeringScaling010302 applied physicsbusiness.industryGrapheneComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSWide-bandgap semiconductorSettore ING-INF/02 - Campi Elettromagnetici021001 nanoscience & nanotechnologyGraphene field effect transistorsSapphire substrateOptoelectronicsField-effect transistorGraphene0210 nano-technologyConstant (mathematics)businessMicrowaveddc:600MicrowaveHardware_LOGICDESIGN
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Terahertz electrical writing speed in an antiferromagnetic memory

2018

The speed of writing of state-of-the-art ferromagnetic memories is physically limited by an intrinsic gigahertz threshold. Recently, realization of memory devices based on antiferromagnets, in which spin directions periodically alternate from one atomic lattice site to the next has moved research in an alternative direction. We experimentally demonstrate at room temperature that the speed of reversible electrical writing in a memory device can be scaled up to terahertz using an antiferromagnet. A current-induced spin-torque mechanism is responsible for the switching in our memory devices throughout the 12-order-of-magnitude range of writing speeds from hertz to terahertz. Our work opens the…

Terahertz radiationPhysics::Optics02 engineering and technologyHardware_PERFORMANCEANDRELIABILITY01 natural sciences530Computer Science::Hardware ArchitectureHertz0103 physical sciencesHardware_INTEGRATEDCIRCUITSAntiferromagnetismAtomic lattice010306 general physicsResearch ArticlesSpin-½PhysicsMultidisciplinarybusiness.industrySciAdv r-articles021001 nanoscience & nanotechnologyelectrical writingFerromagnetismApplied Sciences and Engineeringwriting speedComputer ScienceOptoelectronicsCondensed Matter::Strongly Correlated Electronsantiferromagnetic memory0210 nano-technologybusinessRealization (systems)Research ArticleScience Advances
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Supervised learning of time-independent Hamiltonians for gate design

2018

We present a general framework to tackle the problem of finding time-independent dynamics generating target unitary evolutions. We show that this problem is equivalently stated as a set of conditions over the spectrum of the time-independent gate generator, thus transforming the task to an inverse eigenvalue problem. We illustrate our methodology by identifying suitable time-independent generators implementing Toffoli and Fredkin gates without the need for ancillae or effective evolutions. We show how the same conditions can be used to solve the problem numerically, via supervised learning techniques. In turn, this allows us to solve problems that are not amenable, in general, to direct ana…

Theoretical computer scienceDiagonalFOS: Physical sciencesGeneral Physics and AstronomyInverseToffoli gate02 engineering and technologysupervised learning01 natural sciencesUnitary statequantum computingSettore FIS/03 - Fisica Della Materia010305 fluids & plasmasSet (abstract data type)Computer Science::Hardware Architecturesymbols.namesakeComputer Science::Emerging Technologiesquant-ph020204 information systems0103 physical sciences0202 electrical engineering electronic engineering information engineering010306 general physicsEigenvalues and eigenvectorsQuantum computerMathematicsPhysicsFlexibility (engineering)Discrete mathematicsQuantum PhysicsSupervised learningInverse problemHermitian matrixmachine learningQubitsymbolsPairwise comparisonquantum circuitsQuantum Physics (quant-ph)Hamiltonian (quantum mechanics)Generator (mathematics)Quantum Information and Measurement (QIM) V: Quantum Technologies
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A Compact SPICE Model for Organic TFTs and Applications to Logic Circuit Design

2016

This work introduces a compact DC model developed for organic thin film transistors (OTFTs) and its SPICE implementation. The model relies on a modified version of the gradual channel approximation that takes into account the contact effects, occurring at nonohmic metal/organic semiconductor junctions, modeling them as reverse biased Schottky diodes. The model also comprises channel length modulation and scalability of drain current with respect to channel length. To show the suitability of the model, we used it to design an inverter and a ring oscillator circuit. Furthermore, an experimental validation of the OTFTs has been done at the level of the single device as well as with a discrete-…

Transistor modelMaterials scienceFlexible electronics; organic thin film transistors; SPICE modelingSpiceSemiconductor device modelingHardware_PERFORMANCEANDRELIABILITY02 engineering and technologyRing oscillatorIntegrated circuit01 natural scienceslaw.inventionComputer Science::Hardware ArchitectureComputer Science::Emerging Technologieslaw0103 physical sciencesElectronic engineeringHardware_INTEGRATEDCIRCUITSElectrical and Electronic EngineeringFlexible electronics010302 applied physicsChannel length modulationbusiness.industryTransistorSchottky diodeCondensed Matter::Mesoscopic Systems and Quantum Hall Effect021001 nanoscience & nanotechnologyFlexible electronicsComputer Science Applicationsorganic thin film transistorsLogic gateSPICE modelingInverterOptoelectronics0210 nano-technologybusinessHardware_LOGICDESIGNIEEE Transactions on Nanotechnology
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