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: "analysis of intel s haswell microarchitecture using the ecm model and microbenchmarks"
  Abstract: This paper presents an in-depth analysis of Intel's Haswell microarchitecture for streaming loop kernels. Among the new features examined is the dual-ring Uncore design, Cluster-on-Die mode, Uncore Frequency Scaling, core improvements as new and improved execution units, as well as improvements throughout the memory hierarchy. The Execution-Cache-Memory diagnostic performance model is used together with a generic set of microbenchmarks to quantify the efficiency of the microarchitecture. The set of microbenchmarks is chosen such that it can serve as a blueprint for other streaming loop kernels.

Connected through hyperedge HE-1 (induced by source paper "understanding hpc benchmark performance on intel broadwell and cascade lake processors"):
  with members:
    - "a recursive algebraic coloring technique for hardware efficient symmetric sparse matrix vector multiplication"
    - "an analysis of core and chip level architectural features in four generations of intel server processors"

Connected through hyperedge HE-2 (induced by source paper "an analysis of core and chip level architectural features in four generations of intel server processors"):
  with members:
    - "an ecm based energy efficiency optimization approach for bandwidth limited streaming kernels on recent intel xeon processors"
    - "quantifying performance bottlenecks of stencil computations using the execution cache memory model"
    - "comparing the performance of different x86 simd instruction sets for a medical imaging application on modern multi and manycore chips"
    - "pushing the limits for medical image reconstruction on recent standard multicore processors"
    - "chip level and multi node analysis of energy optimized lattice boltzmann cfd simulations"
    - "exploring performance and power properties of modern multicore chips via simple machine models"

Connected through hyperedge HE-3 (induced by source paper "an ecm based energy efficiency optimization approach for bandwidth limited streaming kernels on recent intel xeon processors"):
  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"

Connected through hyperedge HE-4 (induced by source paper "performance analysis of the kahan enhanced scalar product on current multi and manycore processors"):
  with members:
    - "quantifying performance bottlenecks of stencil computations using the execution cache memory model"
    - "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)