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: "extreme scale block structured adaptive mesh refinement"
  Abstract: In this article, we present a novel approach for block-structured adaptive mesh refinement (AMR) that is suitable for extreme-scale parallelism. All data structures are designed such that the size of the metadata in each distributed processor memory remains bounded independent of the processor number. In all stages of the AMR process, we use only distributed algorithms. No central resources such as a master process or replicated data are employed, so that an unlimited scalability can be achieved. For the dynamic load balancing in particular, we propose to exploit the hierarchical nature of the block-structured domain partitioning by creating a lightweight, temporary copy of the core data structure. This copy acts as a local and fully distributed proxy data structure. It does not contain simulation data but only provides topological information about the domain partitioning into blocks. Ultimately, this approach enables an inexpensive, local, diffusion-based dynamic load balancing scheme. We demonstrate th...

Connected through hyperedge HE-1 (induced by source paper "walberla a block structured high performance framework for multiphysics simulations"):
  with members:
    - "a modular and extensible software architecture for particle dynamics"
    - "lattice boltzmann benchmark kernels as a testbed for performance analysis"
    - "dynamic load balancing techniques for particulate flow simulations"
    - "the maximum dissipation principle in rigid body dynamics with inelastic impacts"
    - "a local parallel communication algorithm for polydisperse rigid body dynamics"
    - "a comparative study of fluid particle coupling methods for fully resolved lattice boltzmann simulations"
    - "a scalable and extensible checkpointing scheme for massively parallel simulations"
    - "a coupled lattice boltzmann method and discrete element method for discrete particle simulations of particulate flows"

Connected through hyperedge HE-2 (induced by source paper "a modular and extensible software architecture for particle dynamics"):
  with members:
    - "dynamic load balancing techniques for particulate flow simulations"
    - "a local parallel communication algorithm for polydisperse rigid body dynamics"
    - "a domain specific language for performance portable molecular dynamics algorithms"
    - "massively parallel algorithms for the lattice boltzmann method on nonuniform grids"
    - "ultrascale simulations of non smooth granular dynamics"

Connected through hyperedge HE-3 (induced by source paper "dynamic load balancing techniques for particulate flow simulations"):
  with members:
    - "lattice boltzmann benchmark kernels as a testbed for performance analysis"
    - "a comparative study of fluid particle coupling methods for fully resolved lattice boltzmann simulations"
    - "kerncraft a tool for analytic performance modeling of loop kernels"
    - "massively parallel algorithms for the lattice boltzmann method on nonuniform grids"
    - "ultrascale simulations of non smooth granular dynamics"
    - "recent advances in graph partitioning"
    - "likwid a lightweight performance oriented tool suite for x86 multicore environments"
    - "likwid a lightweight performance oriented tool suite for x86 multicore environments"

Connected through hyperedge HE-4 (induced by source paper "a systematic comparison of dynamic load balancing algorithms for massively parallel rigid particle dynamics"):
  with members:
    - "the maximum dissipation principle in rigid body dynamics with inelastic impacts"
    - "a local parallel communication algorithm for polydisperse rigid body dynamics"
    - "massively parallel algorithms for the lattice boltzmann method on nonuniform grids"
    - "ultrascale simulations of non smooth granular dynamics"

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.DC(Distributed, Parallel, and Cluster Computing)