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 "a systematic comparison of dynamic load balancing algorithms for massively parallel rigid particle dynamics"):
  Abstract: As compute power increases with time, more involved and larger simulations become possible. However, it gets increasingly difficult to efficiently use the provided computational resources. Especially in particle-based simulations with a spatial domain partitioning large load imbalances can occur due to the simulation being dynamic. Then a static domain partitioning may not be suitable. This can deteriorate the overall runtime of the simulation significantly. Sophisticated load balancing strategies must be designed to alleviate this problem. In this paper we conduct a systematic evaluation of the performance of six different load balancing algorithms. Our tests cover a wide range of simulation sizes, and employ one of the largest supercomputers available. In particular we study the runtime and memory complexity of all components of the simulation carefully. When progressing to extreme scale simulations it is essential to identify bottlenecks and to predict the scaling behaviour. Scaling experiments are shown for up to over one million processes. The performance of each algorithm is analyzed with respect to the quality of the load balancing and its runtime costs. For all tests, the waLBerla multiphysics framework is employed.

Includes members:
  Member "extreme scale block structured adaptive mesh refinement":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "walberla a block structured high performance framework for multiphysics simulations")
  Member "the maximum dissipation principle in rigid body dynamics with inelastic impacts":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "walberla a block structured high performance framework for multiphysics simulations")
  Member "a local parallel communication algorithm for polydisperse rigid body dynamics":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "walberla a block structured high performance framework for multiphysics simulations")
  Member "massively parallel algorithms for the lattice boltzmann method on nonuniform grids":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "walberla a block structured high performance framework for multiphysics simulations")
  Member "ultrascale simulations of non smooth granular dynamics":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "walberla a block structured high performance framework for multiphysics simulations")

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.DC(Distributed, Parallel, and Cluster Computing)