human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "petrbf a parallel o n algorithm for radial basis function interpolation with gaussians"
  Abstract: Abstract   We have developed a parallel algorithm for radial basis function ( rbf ) interpolation that exhibits  O ( N ) complexity, requires  O ( N ) storage, and scales excellently up to a thousand processes. The algorithm uses a  gmres  iterative solver with a restricted additive Schwarz method ( rasm ) as a preconditioner and a fast matrix-vector algorithm. Previous fast  rbf  methods — achieving at most  O ( N log N ) complexity — were developed using multiquadric and polyharmonic basis functions. In contrast, the present method uses Gaussians with a small variance with respect to the domain, but with sufficient overlap. This is a common choice in particle methods for fluid simulation, our main target application. The fast decay of the Gaussian basis function allows rapid convergence of the iterative solver even when the subdomains in the  rasm  are very small. At the same time we show that the accuracy of the interpolation can achieve machine precision. The present method was implemented in parallel using the  pets c library (developer version). Numerical experiments demonstrate its capability in problems of  rbf  interpolation with more than 50 million data points, timing at 106 s (19 iterations for an error tolerance of 10 − 15 ) on 1024 processors of a Blue Gene/L (700 MHz PowerPC processors). The parallel code is freely available in the open-source model.

Connected through hyperedge HE-1 (induced by source paper "algorithmic patterns for mathcal h matrices on many core processors"):
  with members:
    - "approximation of bem matrices using gpgpus"
    - "a distributed memory package for dense hierarchically semi separable matrix computations using randomization"
    - "fmm based vortex method for simulation of isotropic turbulence on gpus compared with a spectral method"

Connected through hyperedge HE-2 (induced by source paper "fmm based vortex method for simulation of isotropic turbulence on gpus compared with a spectral method"):
  with members:
    - "petascale turbulence simulation using a highly parallel fast multipole method on gpus"
    - "hierarchical n body simulations with auto tuning for heterogeneous systems"

Connected through hyperedge HE-3 (induced by source paper "optimal scalable forward models for computing gravity anomalies"):
  with members:
    - "petfmm a dynamically load balancing parallel fast multipole library"
    - "mesh algorithms for pde with sieve i mesh distribution"

Question: Please tell me which class the center node 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)