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: "massively parallel algorithms for the lattice boltzmann method on nonuniform grids"
  Abstract: The lattice Boltzmann method exhibits excellent scalability on current supercomputing systems and has thus increasingly become an alternative method for large-scale nonstationary flow simulations, reaching up to a trillion ($10^{12}$) grid nodes. Additionally, grid refinement can lead to substantial savings in memory and compute time. These savings, however, come at the cost of much more complex data structures and algorithms. In particular, the interface between subdomains with different grid sizes must receive special treatment. In this article, we present parallel algorithms, distributed data structures, and communication routines that are implemented in the software framework waLBerla in order to support large-scale, massively parallel lattice Boltzmann-based simulations on nonuniform grids. Additionally, we evaluate the performance of our approach on two current petascale supercomputers. On an IBM Blue Gene/Q system, the largest weak scaling benchmarks with refined grids are executed with almost 2 mi...

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"
    - "extreme scale block structured adaptive mesh refinement"
    - "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"

Connected through hyperedge HE-2 (induced by source paper "an optimized parallel computation of the ghost layer for adaptive hybrid forest meshes"):
  with members:
    - "parallel tree algorithms for amr and non standard data access"
    - "scalable algorithms for parallel tree based adaptive mesh refinement with general element types"
    - "a tetrahedral space filling curve for nonconforming adaptive meshes"
    - "coarse mesh partitioning for tree based amr"
    - "recursive algorithms for distributed forests of octrees"
    - "the dune alugrid module"
    - "pt scotch a tool for efficient parallel graph ordering"

Connected through hyperedge HE-3 (induced by source paper "a modular and extensible software architecture for particle dynamics"):
  with members:
    - "extreme scale block structured adaptive mesh refinement"
    - "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"
    - "ultrascale simulations of non smooth granular dynamics"

Connected through hyperedge HE-4 (induced by source paper "dynamic load balancing techniques for particulate flow simulations"):
  with members:
    - "lattice boltzmann benchmark kernels as a testbed for performance analysis"
    - "extreme scale block structured adaptive mesh refinement"
    - "a comparative study of fluid particle coupling methods for fully resolved lattice boltzmann simulations"
    - "kerncraft a tool for analytic performance modeling of loop kernels"
    - "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-5 (induced by source paper "a systematic comparison of dynamic load balancing algorithms for massively parallel rigid particle dynamics"):
  with members:
    - "extreme scale block structured adaptive mesh refinement"
    - "the maximum dissipation principle in rigid body dynamics with inelastic impacts"
    - "a local parallel communication algorithm for polydisperse rigid body dynamics"
    - "ultrascale simulations of non smooth granular dynamics"

Connected through hyperedge HE-6 (induced by source paper "sparse geometries handling in lattice boltzmann method implementation for graphic processors"):
  with members:
    - "memory transfer optimization for a lattice boltzmann solver on kepler architecture nvidia gpus"
    - "a flexible patch based lattice boltzmann parallelization approach for heterogeneous gpu cpu clusters"
    - "performance engineering for the lattice boltzmann method on gpgpus architectural requirements and performance results"

Connected through hyperedge HE-7 (induced by source paper "extreme scale block structured adaptive mesh refinement"):
  with members:
    - "ultrascale simulations of non smooth granular dynamics"
    - "extensible component based architecture for flash a massively parallel multiphysics simulation code"

Connected through hyperedge HE-8 (induced by source paper "a local parallel communication algorithm for polydisperse rigid body dynamics"):
  with members:
    - "ultrascale simulations of non smooth granular dynamics"
    - "computational molecular engineering as an emerging technology in process engineering"

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)