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: "devito v3 1 0 an embedded domain specific language for finite differences and geophysical exploration"
  Abstract: Abstract. We introduce Devito, a new domain-specific#N#language for implementing high-performance finite-difference partial#N#differential equation solvers. The motivating application is exploration#N#seismology for which methods such as full-waveform inversion and reverse-time#N#migration are used to invert terabytes of seismic data to create images of#N#the Earth's subsurface. Even using modern supercomputers, it can take weeks#N#to process a single seismic survey and create a useful subsurface image. The#N#computational cost is dominated by the numerical solution of wave equations#N#and their corresponding adjoints. Therefore, a great deal of effort is#N#invested in aggressively optimizing the performance of these wave-equation#N#propagators for different computer architectures. Additionally, the actual#N#set of partial differential equations being solved and their numerical#N#discretization is under constant innovation as increasingly realistic#N#representations of the physics are developed, further ratcheting up the cost#N#of practical solvers. By embedding a domain-specific language within Python#N#and making heavy use of SymPy, a symbolic mathematics library, we make it#N#possible to develop finite-difference simulators quickly using a syntax that#N#strongly resembles the mathematics. The Devito compiler reads this code and#N#applies a wide range of analysis to generate highly optimized and parallel#N#code. This approach can reduce the development time of a verified and#N#optimized solver from months to days.

Connected through hyperedge HE-1 (induced by source paper "an event driven approach to serverless seismic imaging in the cloud"):
  with members:
    - "comparative benchmarking of cloud computing vendors with high performance linpack"
    - "architecture and performance of devito a system for automated stencil computation"
    - "high level python abstractions for optimal checkpointing in inversion problems"
    - "a unified 2d 3d large scale software environment for nonlinear inverse problems"
    - "jinv a flexible julia package for pde parameter estimation"
    - "deep residual learning for image recognition"
    - "adam a method for stochastic optimization"
    - "the numpy array a structure for efficient numerical computation"

Connected through hyperedge HE-2 (induced by source paper "gpu support for automatic generation of finite differences stencil kernels"):
  with members:
    - "architecture and performance of devito a system for automated stencil computation"
    - "firedrake automating the finite element method by composing abstractions"

Connected through hyperedge HE-3 (induced by source paper "serverless seismic imaging in the cloud"):
  with members:
    - "architecture and performance of devito a system for automated stencil computation"

Connected through hyperedge HE-4 (induced by source paper "architecture and performance of devito a system for automated stencil computation"):
  with members:
    - "simflowny 2 an upgraded platform for scientific modelling and simulation"
    - "performance prediction of finite difference solvers for different computer architectures"
    - "opensbli a framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures"
    - "a metric for performance portability"
    - "loo py transformation based code generation for gpus and cpus"

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.DM(Discrete Mathematics)