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: "energy efficiency features of the intel skylake sp processor and their impact on performance"
  Abstract: The overwhelming majority of High Performance Computing (HPC) systems and server infrastructure uses Intel x86 processors. This makes an architectural analysis of these processors relevant for a wide audience of administrators and performance engineers. In this paper, we describe the effects of hardware controlled energy efficiency features for the Intel Skylake-SP processor. Due to the prolonged micro-architecture cycles, which extend the previous Tick-Tock scheme by Intel, our findings will also be relevant for succeeding architectures. The findings of this paper include the following: C-state latencies increased significantly over the Haswell-EP processor generation. The mechanism that controls the uncore frequency has a latency of approximately 10 ms and it is not possible to truly fix the uncore frequency to a specific level. The out-of-order throttling for workloads using 512 bit wide vectors also occurs at low processor frequencies. Data has a significant impact on processor power consumption which causes a large error in energy models relying only on instructions.

Connected through hyperedge HE-1 (induced by source paper "honing and proofing astrophysical codes on the road to exascale experiences from code modernization on many core systems"):
  with members:
    - "performance optimisation of smoothed particle hydrodynamics algorithms for multi many core architectures"
    - "optimization and parallelization of b spline based orbital evaluations in qmc on multi many core shared memory processors"
    - "swift using task based parallelism fully asynchronous communication and graph partition based domain decomposition for strong scaling on more than 100 000 cores"

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)