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: "communication complexity of the fast multipole method and its algebraic variants"
  Abstract: A combination of hierarchical tree-like data structures and data access patterns from fast multipole methods and hierarchical low-rank approximation of linear operators from H-matrix methods appears to form an algorithmic path forward for efficient implementation of many linear algebraic operations of scientific computing at the exascale. The combination provides asymptotically optimal computational and communication complexity and applicability to large classes of operators that commonly arise in scientific computing applications. A convergence of the mathematical theories of the fast multipole and H-matrix methods has been underway for over a decade. We recap this mathematical unification and describe implementation aspects of a hybrid of these two compelling hierarchical algorithms on hierarchical distributed-shared memory architectures, which are likely to be the first to reach the exascale. We present a new communication complexity estimate for fast multipole methods on such architectures. We also show how the data structures and access patterns of H-matrices for low-rank operators map onto those of fast multipole, leading to an algebraically generalized form of fast multipole that compromises none of its architecturally ideal properties.

Connected through hyperedge HE-1 (induced by source paper "hierarchical matrix operations on gpus matrix vector multiplication and compression"):
  with members:
    - "algorithmic patterns for mathcal h matrices on many core processors"
    - "batched qr and svd algorithms on gpus with applications in hierarchical matrix compression"
    - "approximation of bem matrices using gpgpus"
    - "kblas an optimized library for dense matrix vector multiplication on gpu accelerators"

Connected through hyperedge HE-2 (induced by source paper "learning with analytical models"):
  with members:
    - "optimization of an electromagnetics code with multicore wavefront diamond blocking and multi dimensional intra tile parallelization"
    - "fast multipole preconditioners for sparse matrices arising from elliptic equations"
    - "an fmm based on dual tree traversal for many core architectures"

Connected through hyperedge HE-3 (induced by source paper "communication reducing algorithms for distributed hierarchical n body problems with boundary distributions"):
  with members:
    - "asynchronous execution of the fast multipole method using charm"
    - "biomolecular electrostatics using a fast multipole bem on up to 512 gpus and a billion unknowns"
    - "an inventory of three dimensional hilbert space filling curves"

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)