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: "acceleration of a full scale industrial cfd application with op2"
  Abstract: Hydra is a full-scale industrial CFD application used for the design of turbomachinery at Rolls Royce plc., capable of performing complex simulations over highly detailed unstructured mesh geometries. Hydra presents major challenges in data organization and movement that need to be overcome for continued high performance on emerging platforms. We present research in achieving this goal through the OP2 domain-specific high-level framework, demonstrating the viability of such a high-level programming approach. OP2 targets the domain of unstructured mesh problems and enables execution on a range of back-end hardware platforms. We chart the conversion of Hydra to OP2, and map out the key difficulties encountered in the process. Specifically we show how different parallel implementations can be achieved with an active library framework, even for a highly complicated industrial application and how different optimizations targeting contrasting parallel architectures can be applied to the whole application, seamlessly, reducing developer effort and increasing code longevity. Performance results demonstrate that not only the same runtime performance as that of the hand-tuned original code could be achieved, but it can be significantly improved on conventional processor systems, and many-core systems. Our results provide evidence of how high-level frameworks such as OP2 enable portability across a wide range of contrasting platforms and their significant utility in achieving high performance without the intervention of the application programmer.

Connected through hyperedge HE-1 (induced by source paper "data management in industry 4 0 state of the art and open challenges"):
  with members:
    - "avoiding the internet of insecure industrial things"
    - "energy optimization of robotic cells"
    - "sre semantic rules engine for the industrial internet of things gateways"
    - "covert attacks in cyber physical control systems"
    - "intercept behavior analysis of industrial wireless sensor networks in the presence of eavesdropping attack"
    - "a cyber physical system based approach for industrial automation systems"

Connected through hyperedge HE-2 (induced by source paper "automated tiling of unstructured mesh computations with application to seismological modelling"):
  with members:
    - "firedrake automating the finite element method by composing abstractions"
    - "loop tiling in large scale stencil codes at run time with ops"
    - "cross loop optimization of arithmetic intensity for finite element local assembly"
    - "unstructured overlapping mesh distribution in parallel"

Connected through hyperedge HE-3 (induced by source paper "high level implementation of geometric multigrid solvers for finite element problems applications in atmospheric modelling"):
  with members:
    - "firedrake automating the finite element method by composing abstractions"
    - "an algorithm for the optimization of finite element integration loops"
    - "solution of nonlinear stokes equations discretized by high order finite elements on nonconforming and anisotropic meshes with application to ice sheet dynamics"
    - "cross loop optimization of arithmetic intensity for finite element local assembly"
    - "petascale elliptic solvers for anisotropic pdes on gpu clusters"
    - "massively parallel solvers for elliptic pdes in numerical weather and climate prediction"
    - "unified form language a domain specific language for weak formulations of partial differential equations"
    - "dolfin automated finite element computing"

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.CE(Computational Engineering, Finance, and Science)