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: "analyzing and improving maximal attainable accuracy in the communication hiding pipelined bicgstab method"
  Abstract: Pipelined Krylov subspace methods avoid communication latency by reducing the number of global synchronization bottlenecks and by hiding global communication behind useful computational work. In exact arithmetic pipelined Krylov subspace algorithms are equivalent to classic Krylov subspace methods and generate identical series of iterates. However, as a consequence of the reformulation of the algorithm to improve parallelism, pipelined methods may suffer from severely reduced attainable accuracy in a practical finite precision setting. This work presents a numerical stability analysis that describes and quantifies the impact of local rounding error propagation on the maximal attainable accuracy of the multi-term recurrences in the preconditioned pipelined BiCGStab method. Theoretical expressions for the gaps between the true and computed residual as well as other auxiliary variables used in the algorithm are derived, and the elementary dependencies between the gaps on the various recursively computed vector variables are analyzed. The norms of the corresponding propagation matrices and vectors provide insights in the possible amplification of local rounding errors throughout the algorithm. Stability of the pipelined BiCGStab method is compared numerically to that of pipelined CG on a symmetric benchmark problem. Furthermore, numerical evidence supporting the effectiveness of employing a residual replacement type strategy to improve the maximal attainable accuracy for the pipelined BiCGStab method is provided.

Connected through hyperedge HE-1 (induced by source paper "recent developments in iterative methods for reducing synchronization"):
  with members:
    - "asynchronous time parallel method based on laplace transform"
    - "the communication hiding pipelined bicgstab method for the parallel solution of large unsymmetric linear systems"
    - "asynchronous communications library for the parallel in time solution of black scholes equation"
    - "asynchronous parareal algorithm applied to european option pricing"
    - "avoiding communication in primal and dual block coordinate descent methods"

Connected through hyperedge HE-2 (induced by source paper "improving strong scaling of the conjugate gradient method for solving large linear systems using global reduction pipelining"):
  with members:
    - "numerically stable recurrence relations for the communication hiding pipelined conjugate gradient method"
    - "the communication hiding conjugate gradient method with deep pipelines"
    - "the communication hiding pipelined bicgstab method for the parallel solution of large unsymmetric linear systems"

Connected through hyperedge HE-3 (induced by source paper "numerically stable recurrence relations for the communication hiding pipelined conjugate gradient method"):
  with members:
    - "low synchronization gmres algorithms"
    - "the communication hiding conjugate gradient method with deep pipelines"
    - "the communication hiding pipelined bicgstab method for the parallel solution of large unsymmetric linear systems"

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.NA(Numerical Analysis)