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: "loo py transformation based code generation for gpus and cpus"
  Abstract: Today's highly heterogeneous computing landscape places a burden on programmers wanting to achieve high performance on a reasonably broad cross-section of machines. To do so, computations need to be expressed in many different but mathematically equivalent ways, with, in the worst case, one variant per target machine.   Loo.py, a programming system embedded in Python, meets this challenge by defining a data model for array-style computations and a library of transformations that operate on this model. Offering transformations such as loop tiling, vectorization, storage management, unrolling, instruction-level parallelism, change of data layout, and many more, it provides a convenient way to capture, parametrize, and re-unify the growth among code variants. Optional, deep integration with numpy and PyOpenCL provides a convenient computing environment where the transition from prototype to high-performance implementation can occur in a gradual, machine-assisted form.

Connected through hyperedge HE-1 (induced by source paper "a mechanism for balancing accuracy and scope in cross machine black box gpu performance modeling"):
  with members:
    - "learning to optimize tensor programs"
    - "opencl performance prediction using architecture independent features"
    - "kerncraft a tool for analytic performance modeling of loop kernels"
    - "loo py from fortran to performance via transformation and substitution rules"
    - "introducing a performance model for bandwidth limited loop kernels"

Connected through hyperedge HE-2 (induced by source paper "a study of vectorization for matrix free finite element methods"):
  with members:
    - "solver composition across the pde linear algebra barrier"
    - "tsfc a structure preserving form compiler"
    - "fast matrix free evaluation of discontinuous galerkin finite element operators"
    - "finite element integration on gpus"

Connected through hyperedge HE-3 (induced by source paper "investigating the ops intermediate representation to target gpus in the devito dsl"):
  with members:
    - "architecture and performance of devito a system for automated stencil computation"
    - "devito an embedded domain specific language for finite differences and geophysical exploration"
    - "firedrake automating the finite element method by composing abstractions"

Connected through hyperedge HE-4 (induced by source paper "tvm end to end optimization stack for deep learning"):
  with members:
    - "in datacenter performance analysis of a tensor processing unit"
    - "mobilenets efficient convolutional neural networks for mobile vision applications"
    - "dlvm a modern compiler infrastructure for deep learning systems"
    - "high performance ultra low precision convolutions on mobile devices"
    - "finn a framework for fast scalable binarized neural network inference"
    - "xgboost a scalable tree boosting system"
    - "identity mappings in deep residual networks"
    - "binaryconnect training deep neural networks with binary weights during propagations"

Connected through hyperedge HE-5 (induced by source paper "tensor comprehensions framework agnostic high performance machine learning abstractions"):
  with members:
    - "tvm end to end optimization stack for deep learning"
    - "in datacenter performance analysis of a tensor processing unit"
    - "accurate large minibatch sgd training imagenet in 1 hour"
    - "wide deep learning for recommender systems"
    - "aggregated residual transformations for deep neural networks"
    - "tensorflow a system for large scale machine learning"
    - "deep residual learning for image recognition"
    - "mxnet a flexible and efficient machine learning library for heterogeneous distributed systems"

Connected through hyperedge HE-6 (induced by source paper "architecture and performance of devito a system for automated stencil computation"):
  with members:
    - "devito v3 1 0 an embedded domain specific language for finite differences and geophysical exploration"
    - "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"

Connected through hyperedge HE-7 (induced by source paper "fusionstitching deep fusion and code generation for tensorflow computations on gpus"):
  with members:
    - "tvm an automated end to end optimizing compiler for deep learning"
    - "attention is all you need"
    - "attention focusing for neural machine translation by bridging source and target embeddings"
    - "caffe convolutional architecture for fast feature embedding"

Connected through hyperedge HE-8 (induced by source paper "fast matrix free evaluation of discontinuous galerkin finite element operators"):
  with members:
    - "exa dune flexible pde solvers numerical methods and applications"
    - "a study of vectorization for matrix free finite element methods"
    - "efficient explicit time stepping of high order discontinuous galerkin schemes for waves"
    - "firedrake automating the finite element method by composing abstractions"
    - "an algorithm for the optimization of finite element integration loops"
    - "factorizing the factorization a spectral element solver for elliptic equations with linear operation count"
    - "gpu accelerated spectral finite elements on all hex meshes"
    - "achieving high performance with unified residual evaluation"

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.PL(Programming Languages)