human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "on the accuracy and usefulness of analytic energy models for contemporary multicore processors"):
  Abstract: This paper presents refinements to the execution-cache-memory performance model and a previously published power model for multicore processors. The combination of both enables a very accurate prediction of performance and energy consumption of contemporary multicore processors as a function of relevant parameters such as number of active cores as well as core and Uncore frequencies. Model validation is performed on Intel Sandy Bridge-EP, Broadwell-EP, and AMD Epyc processors. Production-related variations in chip quality are demonstrated through a statistical analysis of the fit parameters obtained on one hundred Broadwell-EP CPUs of the same model. Insights from the models are used to explain the performance- and energy-related behavior of the processors for scalable as well as saturating (i.e., memory-bound) codes. In the process we demonstrate the models’ capability to identify optimal operating points with respect to highest performance, lowest energy-to-solution, and lowest energy-delay product and identify a set of best practices for energy-efficient execution.

Includes members:
  Member "an analysis of core and chip level architectural features in four generations of intel server processors":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "understanding hpc benchmark performance on intel broadwell and cascade lake processors")
  Member "kerncraft a tool for analytic performance modeling of loop kernels":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "collecting and presenting reproducible intranode stencil performance inspect")
  Member "quantifying performance bottlenecks of stencil computations using the execution cache memory model":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "desynchronization and wave pattern formation in mpi parallel and hybrid memory bound programs")
  Member "the energy frequency convexity rule modeling and experimental validation on mobile devices":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "offloading and resource allocation with general task graph in mobile edge computing a deep reinforcement learning approach")
  Member "chip level and multi node analysis of energy optimized lattice boltzmann cfd simulations":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "bridging the architecture gap abstracting performance relevant properties of modern server processors")
  Member "exploring performance and power properties of modern multicore chips via simple machine models":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "an analysis of core and chip level architectural features in four generations of intel server processors")

Question: Please tell me which class the source paper 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)