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: "how amdahl s low restricts supercomputer applications and building ever bigger supercomputers"
  Abstract: This paper reinterprets Amdahl's law in terms of execution time and applies this simple model to supercomputing. The systematic discussion results in practical formulas enabling to calculate expected running time using large number of processors from experimental runs using low number of processors, delivers a quantitative measure of computational efficiency of supercomputing applications. Through separating non-parallelizable contribution to fractions according to their origin, Amdahl's law enables to derive a timeline for supercomputers (quite similar to Moore's law) and describes why Amdahl's law limits the size of supercomputers. The paper validates that Amdahl's 50-years old model (with slight extension) correctly describes the performance limitations of the present supercomputers. Using some simple and reasonable assumptions, the absolute performance bound of supercomputers is concluded, furthermore that serious enhancements are still necessary to achieve the exaFLOPS dream value.

Connected through hyperedge HE-1 (induced by source paper "finally how many efficiencies the supercomputers have and what do they measure"):
  with members:
    - "the need for modern computing paradigm science applied to computing"
    - "the impact of on chip communication on memory technologies for neuromorphic systems"
    - "the performance wall of parallelized sequential computing the dark performance and the roofline of performance gain"
    - "comparative benchmarking of cloud computing vendors with high performance linpack"
    - "limits on fundamental limits to computation"

Connected through hyperedge HE-2 (induced by source paper "the need for modern computing paradigm science applied to computing"):
  with members:
    - "the impact of on chip communication on memory technologies for neuromorphic systems"
    - "challenges to keeping the computer industry centered in the us"
    - "a figure of merit for describing the performance of scaling of parallelization"
    - "limits on fundamental limits to computation"

Connected through hyperedge HE-3 (induced by source paper "classic versus modern computing analogies with classic versus modern physics"):
  with members:
    - "limits on fundamental limits to computation"

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)