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: "evaluating polynomials in several variables and their derivatives on a gpu computing processor"
  Abstract: In order to obtain more accurate solutions of polynomial systems with numerical continuation methods we use multiprecision arithmetic. Our goal is to offset the overhead of double double arithmetic accelerating the path trackers and in particular Newton's method with a general purpose graphics processing unit. In this paper we describe algorithms for the massively parallel evaluation and differentiation of sparse polynomials in several variables. We report on our implementation of the algorithmic differentiation of products of variables on the NVIDIA Tesla C2050 Computing Processor using the NVIDIA CUDA compiler tools.

Connected through hyperedge HE-1 (induced by source paper "accelerating polynomial homotopy continuation on a graphics processing unit with double double and quad double arithmetic"):
  with members:
    - "solving polynomial systems in the cloud with polynomial homotopy continuation"
    - "gpu acceleration of newton s method for large systems of polynomial equations in double double and quad double arithmetic"
    - "modernizing phcpack through phcpy"
    - "computing puiseux series for algebraic surfaces"
    - "orthogononalization on a general purpose graphics processing unit with double double and quad double arithmetic"

Connected through hyperedge HE-2 (induced by source paper "tracking many solution paths of a polynomial homotopy on a graphics processing unit"):
  with members:
    - "accelerating polynomial homotopy continuation on a graphics processing unit with double double and quad double arithmetic"
    - "gpu acceleration of newton s method for large systems of polynomial equations in double double and quad double arithmetic"
    - "modernizing phcpack through phcpy"
    - "orthogononalization on a general purpose graphics processing unit with double double and quad double arithmetic"

Connected through hyperedge HE-3 (induced by source paper "gpu acceleration of newton s method for large systems of polynomial equations in double double and quad double arithmetic"):
  with members:
    - "orthogononalization on a general purpose graphics processing unit with double double and quad double arithmetic"

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.MS(Mathematical Software)