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: "architecture and performance of devito a system for automated stencil computation"
  Abstract: Stencil computations are a key part of many high-performance computing applications, such as image processing, convolutional neural networks, and finite-difference solvers for partial differential equations. Devito is a framework capable of generating highly-optimized code given symbolic equations expressed in Python, specialized in, but not limited to, affine (stencil) codes. The lowering process -- from mathematical equations down to C++ code -- is performed by the Devito compiler through a series of intermediate representations. Several performance optimizations are introduced, including advanced common sub-expressions elimination, tiling and parallelization. Some of these are obtained through well-established stencil optimizers, integrated in the back-end of the Devito compiler. The architecture of the Devito compiler, as well as the performance optimizations that are applied when generating code, are presented. The effectiveness of such performance optimizations is demonstrated using operators drawn from seismic imaging applications.

Connected through hyperedge HE-1 (induced by source paper "devito v3 1 0 an embedded domain specific language for finite differences and geophysical exploration"):
  with members:
    - "simflowny 2 an upgraded platform for scientific modelling and simulation"
    - "high level python abstractions for optimal checkpointing in inversion problems"
    - "optimised finite difference computation from symbolic equations"
    - "performance prediction of finite difference solvers for different computer architectures"
    - "firedrake automating the finite element method by composing abstractions"
    - "opensbli a framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures"
    - "cross loop optimization of arithmetic intensity for finite element local assembly"
    - "automated derivation of the adjoint of high level transient finite element programs"

Connected through hyperedge HE-2 (induced by source paper "an event driven approach to serverless seismic imaging in the cloud"):
  with members:
    - "devito v3 1 0 an embedded domain specific language for finite differences and geophysical exploration"
    - "comparative benchmarking of cloud computing vendors with high performance linpack"
    - "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-3 (induced by source paper "automatic differentiation for adjoint stencil loops"):
  with members:
    - "don t unroll adjoint differentiating ssa form programs"
    - "tiramisu a polyhedral compiler for expressing fast and portable code"
    - "forward mode automatic differentiation in julia"
    - "automatic differentiation in machine learning a survey"
    - "automated derivation of the adjoint of high level transient finite element programs"

Connected through hyperedge HE-4 (induced by source paper "investigating the ops intermediate representation to target gpus in the devito dsl"):
  with members:
    - "devito an embedded domain specific language for finite differences and geophysical exploration"
    - "firedrake automating the finite element method by composing abstractions"
    - "loo py transformation based code generation for gpus and cpus"

Connected through hyperedge HE-5 (induced by source paper "gpu support for automatic generation of finite differences stencil kernels"):
  with members:
    - "devito v3 1 0 an embedded domain specific language for finite differences and geophysical exploration"
    - "firedrake automating the finite element method by composing abstractions"

Connected through hyperedge HE-6 (induced by source paper "performance of devito on hpc optimised arm processors"):
  with members:
    - "performance prediction of finite difference solvers for different computer architectures"

Connected through hyperedge HE-7 (induced by source paper "serverless seismic imaging in the cloud"):
  with members:
    - "devito v3 1 0 an embedded domain specific language for finite differences and geophysical exploration"

Connected through hyperedge HE-8 (induced by source paper "devito an embedded domain specific language for finite differences and geophysical exploration"):
  with members:
    - "simflowny 2 an upgraded platform for scientific modelling and simulation"
    - "high level python abstractions for optimal checkpointing in inversion problems"
    - "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"
    - "cross loop optimization of arithmetic intensity for finite element local assembly"
    - "automated derivation of the adjoint of high level transient finite element programs"

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)