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: "an ecm based energy efficiency optimization approach for bandwidth limited streaming kernels on recent intel xeon processors"
  Abstract: We investigate an approach that uses low-level analysis and the execution-cache-memory (ECM) performance model in combination with tuning of hardware parameters to lower energy requirements of memory-bound applications. The ECM model is extended appropriately to deal with software optimizations such as non-temporal stores. Using incremental steps and the ECM model, we analytically quantify the impact of various single-core optimizations and pinpoint microarchitectural improvements that are relevant to energy consumption. Using a 2D Jacobi solver as example that can serve as a blueprint for other memory-bound applications, we evaluate our approach on the four most recent Intel Xeon E5 processors (Sandy Bridge-EP, Ivy Bridge-EP, Haswell-EP, and Broadwell-EP). We find that chip energy consumption can be reduced in the range of 2.0-2.4$\times$ on the examined processors.

Connected through hyperedge HE-1 (induced by source paper "bridging the architecture gap abstracting performance relevant properties of modern server processors"):
  with members:
    - "analytic performance modeling and analysis of detailed neuron simulations"
    - "on the accuracy and usefulness of analytic energy models for contemporary multicore processors"
    - "kerncraft a tool for analytic performance modeling of loop kernels"
    - "quantifying performance bottlenecks of stencil computations using the execution cache memory model"
    - "chip level and multi node analysis of energy optimized lattice boltzmann cfd simulations"

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:
    - "analysis of intel s haswell microarchitecture using the ecm model and microbenchmarks"
    - "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"

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.PF(Performance)