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Dive into the research topics where Ágnes Fülöp is active.

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Featured researches published by Ágnes Fülöp.


Physica A-statistical Mechanics and Its Applications | 1989

Determination of fractal dimensions for geometrical multifractals

Tamás Tél; Ágnes Fülöp; Tamás Vicsek

Two independent approaches, the box counting and the sand box methods are used for the determination of the generalized dimensions (Dq) associated with the geometrical structure of growing deterministic fractals. We find that the multifractal nature of the geometry results in an unusually slow convergence of the numerically calculated Dqs to their true values. Our study demonstrates that the above-mentioned two methods are equivalent only if the sand box method is applied with an averaging over randomly selected centres. In this case the latter approach provides better estimates of the generalized dimensions.


Acta Universitatis Sapientiae: Informatica | 2013

Yang-Mills lattice on CUDA

Richárd Forster; Ágnes Fülöp

Abstract The Yang-Mills fields have an important role in the non- Abelian gauge field theory which describes the properties of the quarkgluon plasma. The real time evolution of the classical fields is given by the equations of motion which are derived from the Hamiltonians to contain the term of the SU(2) gauge field tensor. The dynamics of the classical lattice Yang-Mills equations are studied on a 3 dimensional regular lattice. During the solution of this system we keep the total energy on constant values and it satisfies the Gauss law. The physical quantities are desired to be calculated in the thermodynamic limit. The broadly available computers can handle only a small amount of values, while the GPUs provide enough performance to reach out for higher volumes of lattice vertices which approximates the aforementioned limit.


Acta Universitatis Sapientiae: Informatica | 2015

Simple scalable nucleotic FPGA based short read aligner for exhaustive search of substitution errors

Péter Fehér; Ágnes Fülöp; Gergely Debreczeni; Máté Nagy-Egri; György Vesztergombi

Abstract With the advent of the new and continuously improving technologies, in a couple of years DNA sequencing can be as commonplace as a simple blood test. The growth of sequencing efficiency has a larger exponent than the Moore’s law of standard processors, hence alignment and further processing of sequenced data is the bottleneck. The usage of FPGA (Field Programmable Gate Arrays) technology may provide an efficient alternative. We propose a simple algorithm for DNA sequence alignment, which can be realized efficiently by nucleotic principal agents of Non.Neumann nature. The prototype FPGA implementation runs on a small Terasic DE1-SoC demo board with a Cyclone V chip. We present test results and furthermore analyse the theoretical scalability of this system, showing that the execution time is independent of the length of reference genome sequences. A special advantage of this parallel algorithm is that it performs exhaustive search producing all match variants up to a predetermined number of point (mutation) errors.


Acta Universitatis Sapientiae: Informatica | 2015

Chaotic behavior of the lattice Yang-Mills on CUDA

Richárd Forster; Ágnes Fülöp

Abstract The Yang-Mills fields plays important role in the strong interaction, which describes the quark gluon plasma. The non-Abelian gauge theory provides the theoretical background understanding of this topic. The real time evolution of the classical fields is derived by the Hamiltonian for SU(2) gauge field tensor. The microcanonical equations of motion is solved on 3 dimensional lattice and chaotic dynamics was searched by the monodromy matrix. The entropy-energy relation was presented by Kolmogorov-Sinai entropy. We used block Hessenberg reduction to compute the eigenvalues of the current matrix. While the purely CPU based algorithm can handle effectively only a small amount of values, the GPUs provide enough performance to give more computing power to solve the problem.


Acta Universitatis Sapientiae: Informatica | 2014

Statistical complexity and generalized number system

Ágnes Fülöp

Abstract We apply the concept of statistical complexity to understand the dynamical behaviour of the time series by the probability distribution. This quantity allows to distinguish between the random, regular motion and the structural complexity in finite systems. We determined the numerical approximation of the statistical complexity of the Lozi attractor and the generalized number system


Journal of Physics: Conference Series | 2010

Highly parallel algorithm for high pT physics at FAIR-CBM

Ágnes Fülöp; G Vesztergombi

The limitations of presently available data on pT range are discussed and planned future upgrades are outlined. Special attention is given to the FAIR-CBM experiment as a unique high luminosity facility for future continuation of the measurements at very high pT with emphasis on the so-called mosaic trigger system to use the highly parallel online algorithm.


Archive | 1992

Determination of Fractal Dimensions and Generalized Entropies for Strange Attractors

Ágnes Fülöp

Two independent quantities of chaotic behaviour, the generalized fractal dimensions and the generalized entropies are detemined for the strange attractor of the Lozi map. We fine that both exhibit multifractal structures.


Physical Review A | 1989

Generic dynamical phase transition in chaotic Hamiltonian systems

J. Bene; P. Szépfalusy; Ágnes Fülöp


Physical Review C | 2001

Towards the equation of state of a classical SU(2) lattice gauge theory

Ágnes Fülöp; T. S. Biro


Archive | 1997

Chaotic dynamics in classical lattice field theories

T. S. Biró; Ágnes Fülöp; C. Gong; S. Matinyan; Berndt Müller; A. Trayanov

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Richárd Forster

Eötvös Loránd University

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G Vesztergombi

Hungarian Academy of Sciences

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J. Bene

Eötvös Loránd University

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P. Szépfalusy

Eötvös Loránd University

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Tamás Tél

Eötvös Loránd University

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Tamás Vicsek

Eötvös Loránd University

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