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 "new communication hiding conjugate gradient variants"):
  Abstract: The conjugate gradient algorithm suffers from communication bottlenecks on parallel architectures due to the two global reductions required each iteration. In this paper, we introduce a new communication hiding conjugate gradient variant, which requires only one global reduction per iteration. We then introduce pipelined versions of this variant and of a variant due to Meraunt, to fully overlap the matrix vector product with all inner products. These variants exhibit rates of convergence and final accuracies better than previously known pipelined variants. The convergence these variants are improved using a predict-and-recompute scheme, whereby recursively updated quantities are first used as a predictor for the true value, and then recomputed exactly later in the iteration. Numerical tests indicate that, on difficult problems, applying this technique to our pipelined variants often results in both a rate of convergence and ultimately attainable accuracy far better than previously studied pipelined conjugate gradient variants.

Includes members:
  Member "numerically stable recurrence relations for the communication hiding pipelined conjugate gradient method":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "scalable resilience against node failures for communication hiding preconditioned conjugate gradient and conjugate residual methods")
  Member "the communication hiding conjugate gradient method with deep pipelines":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "scalable resilience against node failures for communication hiding preconditioned conjugate gradient and conjugate residual methods")
  Member "numerical analysis of the maximal attainable accuracy in communication hiding pipelined conjugate gradient methods":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "scalable resilience against node failures for communication hiding preconditioned conjugate gradient and conjugate residual methods")
  Member "numerically stable variants of the communication hiding pipelined conjugate gradients algorithm for the parallel solution of large scale symmetric linear systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "scalable resilience against node failures for communication hiding preconditioned conjugate gradient and conjugate residual methods")

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.NA(Numerical Analysis)