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 "an analysis of core and chip level architectural features in four generations of intel server processors"):
  Abstract: This paper presents a survey of architectural features among four generations of Intel server processors (Sandy Bridge, Ivy Bridge, Haswell, and Broad- well) with a focus on performance with floating point workloads. Starting on the core level and going down the memory hierarchy we cover instruction throughput for floating-point instructions, L1 cache, address generation capabilities, core clock speed and its limitations, L2 and L3 cache bandwidth and latency, the impact of Cluster on Die (CoD) and cache snoop modes, and the Uncore clock speed. Using microbenchmarks we study the influence of these factors on code performance. This insight can then serve as input for analytic performance models. We show that the energy efficiency of the LINPACK and HPCG benchmarks can be improved considerably by tuning the Uncore clock speed without sacrificing performance, and that the Graph500 benchmark performance may profit from a suitable choice of cache snoop mode settings.

Includes members:
  Member "an ecm based energy efficiency optimization approach for bandwidth limited streaming kernels on recent intel xeon processors":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "bridging the architecture gap abstracting performance relevant properties of modern server processors")
  Member "analysis of intel s haswell microarchitecture using the ecm model and microbenchmarks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "understanding hpc benchmark performance on intel broadwell and cascade lake processors")
  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 "comparing the performance of different x86 simd instruction sets for a medical imaging application on modern multi and manycore chips":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "quicker adc unlocking the hidden potential of product quantization with simd")
  Member "pushing the limits for medical image reconstruction on recent standard multicore processors":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "ifdk a scalable framework for instant high resolution image reconstruction")
  Member "chip level and multi node analysis of energy optimized lattice boltzmann cfd simulations":
    also connected through other hyperedges:
      - Hyperedge HE-6 (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-7 (induced by source paper "on the accuracy and usefulness of analytic energy models for contemporary multicore 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)