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: "execution cache memory performance model introduction and validation"
  Abstract: This report serves two purposes: To introduce and validate the Execution-Cache-Memory (ECM) performance model and to provide a thorough analysis of current Intel processor architectures with a special emphasis on Intel Xeon Haswell-EP. The ECM model is a simple analytical performance model which focuses on basic architectural resources. The architectural analysis and model predictions are showcased and validated using a set of elementary microbenchmarks.

Connected through hyperedge HE-1 (induced by source paper "performance prediction of finite difference solvers for different computer architectures"):
  with members:
    - "quantifying performance bottlenecks of stencil computations using the execution cache memory model"
    - "automatic loop kernel analysis and performance modeling with kerncraft"

Connected through hyperedge HE-2 (induced by source paper "mira a framework for static performance analysis"):
  with members:
    - "automatic loop kernel analysis and performance modeling with kerncraft"

Connected through hyperedge HE-3 (induced by source paper "automatic loop kernel analysis and performance modeling with kerncraft"):
  with members:
    - "quantifying performance bottlenecks of stencil computations using the execution cache memory model"
    - "performance patterns and hardware metrics on modern multicore processors best practices for performance engineering"
    - "exploring performance and power properties of modern multicore chips via simple machine models"
    - "likwid a lightweight performance oriented tool suite for x86 multicore environments"
    - "likwid a lightweight performance oriented tool suite for x86 multicore environments"

Connected through hyperedge HE-4 (induced by source paper "analysis of intel s haswell microarchitecture using the ecm model and microbenchmarks"):
  with members:
    - "quantifying performance bottlenecks of stencil computations using the execution cache memory model"
    - "exploring performance and power properties of modern multicore chips via simple machine models"
    - "introducing a performance model for bandwidth limited loop kernels"

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.DC(Distributed, Parallel, and Cluster Computing)