human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "nlsemagic nonlinear schrodinger equation multi dimensional matlab based gpu accelerated integrators using compact high order schemes"):
  Abstract: Abstract   We present a simple to use, yet powerful code package called NLSEmagic to numerically integrate the nonlinear Schrodinger equation in one, two, and three dimensions. NLSEmagic is a high-order finite-difference code package which utilizes graphic processing unit (GPU) parallel architectures. The codes running on the GPU are many times faster than their serial counterparts, and are much cheaper to run than on standard parallel clusters. The codes are developed with usability and portability in mind, and therefore are written to interface with MATLAB utilizing custom GPU-enabled C codes with the MEX-compiler interface. The packages are freely distributed, including user manuals and set-up files.    Program summary   Program title:  NLSEmagic   Catalogue identifier:  AEOJ_v1_0   Program summary URL:  http://cpc.cs.qub.ac.uk/summaries/AEOJ_v1_0.html    Program obtainable from:  CPC Program Library, Queen’s University, Belfast, N. Ireland   Licensing provisions:  Standard CPC licence,  http://cpc.cs.qub.ac.uk/licence/licence.html    No. of lines in distributed program, including test data, etc.:  124453   No. of bytes in distributed program, including test data, etc.:  4728604   Distribution format:  tar.gz   Programming language:  C, CUDA, MATLAB.   Computer:  PC, MAC.   Operating system:  Windows, MacOS, Linux.   Has the code been vectorized or parallelized?:  Yes.   Number of processors used:  Single CPU, number of GPU processors dependent on chosen GPU card (max is currently 3072 cores on GeForce GTX 690).   Supplementary material:  Setup guide, Installation guide.   RAM:  Highly dependent on dimensionality and grid size. For typical medium–large problem size in three dimensions, 4GB is sufficient.   Keywords:  Nonlinear Schroodinger Equation, GPU, high-order finite difference, Bose-Einstien condensates.   Classification:  4.3, 7.7.   Nature of problem:   Integrate solutions of the time-dependent one-, two-, and three-dimensional cubic nonlinear Schrodinger equation.   Solution method:   The integrators utilize a fully-explicit fourth-order Runge–Kutta scheme in time and both second- and fourth-order differencing in space. The integrators are written to run on NVIDIA GPUs and are interfaced with MATLAB including built-in visualization and analysis tools.   Restrictions:   The main restriction for the GPU integrators is the amount of RAM on the GPU as the code is currently only designed for running on a single GPU.   Unusual features:   Ability to visualize real-time simulations through the interaction of MATLAB and the compiled GPU integrators.   Additional comments:   Setup guide and Installation guide provided. Program has a dedicated web site at  www.nlsemagic.com .   Running time:   A three-dimensional run with a grid dimension of 87×87×203 for 3360 time steps (100 non-dimensional time units) takes about one and a half minutes on a GeForce GTX 580 GPU card.

Includes members:
  Member "a modulus squared dirichlet boundary condition for time dependent complex partial differential equations and its application to the nonlinear schr odinger equation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "numerical stability of explicit runge kutta finite difference schemes for the nonlinear schr odinger equation")
  Member "numerical stability of explicit runge kutta finite difference schemes for the nonlinear schr odinger equation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a two step high order compact scheme for the laplacian operator and its implementation in an explicit method for integrating the nonlinear schr odinger equation")
  Member "a two step high order compact scheme for the laplacian operator and its implementation in an explicit method for integrating the nonlinear schr odinger equation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "numerical stability of explicit runge kutta finite difference schemes for the nonlinear schr odinger equation")
  Member "a performance comparison of cuda and opencl":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a unified optimization approach for cnn model inference on integrated gpus")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.MS(Mathematical Software)