Search results for "RDW"

showing 10 items of 1401 documents

Performance of the Fully Digital FPGA-Based Front-End Electronics for the GALILEO Array

2014

In this work we present the architecture and results of a fully digital Front End Electronics (FEE) read out system developed for the GALILEO array. The FEE system, developed in collaboration with the Advanced Gamma Tracking Array (AGATA) collaboration, is composed of three main blocks: preamplifiers, digitizers and preprocessing electronics. The slow control system contains a custom Linux driver, a dynamic library and a server implementing network services. The digital processing of the data from the GALILEO germanium detectors has demonstrated the capability to achieve an energy resolution of 1.53 per mil at an energy of 1.33 MeV.

Digital electronicsNuclear and High Energy PhysicsPhysics - Instrumentation and DetectorsPreamplifierbusiness.industryComputer scienceDetectorFOS: Physical sciencesInstrumentation and Detectors (physics.ins-det)Nuclear Energy and EngineeringControl systemAGATAElectronicsNuclear Experiment (nucl-ex)Electrical and Electronic EngineeringGalileo (vibration training)businessField-programmable gate arrayNuclear ExperimentComputer hardwareIEEE Transactions on Nuclear Science
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Muon identification with the ATLAS Tile Calorimeter Read-Out Driver for Level-2 trigger purposes

2008

The Hadronic Tile Calorimeter (TileCal) at the ATLAS experiment is a detector made out of iron as passive medium and plastic scintillating tiles as active medium. The light produced by the particles is converted to electrical signals which are digitized in the front-end electronics and sent to the back-end system. The main element of the back-end electronics are the VME 9U Read-Out Driver (ROD) boards, responsible of data management, processing and transmission. A total of 32 ROD boards, placed in the data acquisition chain between Level-1 and Level-2 trigger, are needed to read out the whole calorimeter. They are equipped with fixed-point Digital Signal Processors (DSPs) that apply online …

Digital signal processorCalorimeter (particle physics)Physics::Instrumentation and Detectorsbusiness.industryComputer scienceATLAS experimentDetectorData acquisitionTransmission (telecommunications)High Energy Physics::ExperimentElectronicsDetectors and Experimental TechniquesbusinessComputer hardwareDigital signal processing2008 IEEE Nuclear Science Symposium Conference Record
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Portable Video Supercomputing

2004

As inexpensive imaging chips and wireless telecommunications are incorporated into an increasing array, of portable products, the need for high efficiency, high throughput embedded processing will become an important challenge in computer architecture. Videocentric applications, such wireless videoconferencing, real-time video enhancement and analysis, and new, immersive modes of distance education, will exceed the computational capabilities of current microprocessor and digital signal processor (DSP) architectures. A new class of embedded computers, portable video supercomputers, will combine supercomputer performance with the energy efficiency required for deployment in portable systems. …

Digital signal processorComputer scienceData parallelismVideo processingSupercomputerTheoretical Computer ScienceMicroarchitectureMPEG encodinglaw.inventionMicroprocessorComputational Theory and MathematicsComputer architectureHardware and ArchitecturelawSIMDSoftware
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Simulations of non-spherical particles suspended in a shear flow

2000

The lattice-Boltzmann method was used to investigate the effects of the shape and concentration of the particles on the rheological properties of non-Brownian suspensions for non-zero Reynolds numbers. Several case studies were analyzed and the methods used were found to give accurate predictions for these systems. The viscosity of suspensions of both spherical and non-spherical particles was determined as functions of shear rate and concentration of particles. It was shown that, for high shear rates, shear thickening appears. This phenomenon is particularly pronounced for particles of irregular shape.

DilatantMaterials scienceLattice Boltzmann methodsGeneral Physics and AstronomyThermodynamicsReynolds numberMechanicsShear ratePhysics::Fluid DynamicsCondensed Matter::Soft Condensed Mattersymbols.namesakeShear (geology)RheologyHardware and ArchitecturesymbolsShear flowBrownian motion
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Application of kolmogorov complexity to inductive inference with limited memory

1995

A b s t r a c t . We consider inductive inference with limited memory[l]. We show that there exists a set U of total recursive functions such that U can be learned with linear long-term memory (and no short-term memory); U can be learned with logarithmic long-term memory (and some amount of short-term memory); if U is learned with sublinear long-term memory, then the short-term memory exceeds arbitrary recursive function. Thus an open problem posed by Freivalds, Kinber and Smith[l] is solved. To prove our result, we use Kolmogorov complexity.

Discrete mathematicsHardware_MEMORYSTRUCTURESKolmogorov complexityLogarithmSublinear functionKolmogorov structure functionChain rule for Kolmogorov complexityOpen problemInductive probabilityInductive reasoningMathematics
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Computing the Probability for Data Loss in Two-Dimensional Parity RAIDs

2017

Parity RAIDs are used to protect storage systems against disk failures. The idea is to add redundancy to the system by storing the parity of subsets of disks on extra parity disks. A simple two-dimensional scheme is the one in which the data disks are arranged in a rectangular grid, and every row and column is extended by one disk which stores the parity of it.In this paper we describe several two-dimensional parity RAIDs and analyse, for each of them, the probability for dataloss given that f random disks fail. This probability can be used to determine the overall probability using the model of Hafner and Rao. We reduce subsets of the forest counting problem to the different cases and show…

Discrete mathematicsHardware_MEMORYSTRUCTURESRAIDComputer science020206 networking & telecommunications02 engineering and technologyData lossGridElectronic mail020202 computer hardware & architecturelaw.inventionExact algorithmCounting problemlawData_FILES0202 electrical engineering electronic engineering information engineeringTutte polynomialParity (mathematics)2017 13th European Dependable Computing Conference (EDCC)
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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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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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