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: "limits on fundamental limits to computation"
  Abstract: To evaluate the promise of potential computing technologies, this review examines a wide range of fundamental limits, such as to performance, power consumption, size and cost, from the device level to the system level.

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"
    - "how amdahl s low restricts supercomputer applications and building ever bigger supercomputers"

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"
    - "how amdahl s low restricts supercomputer applications and building ever bigger supercomputers"
    - "a figure of merit for describing the performance of scaling of parallelization"

Connected through hyperedge HE-3 (induced by source paper "spin orbit torque based devices circuits and architectures"):
  with members:
    - "spin orbit torque devices for hardware security from deterministic to probabilistic regime"
    - "a model of an oscillatory neural network with multilevel neurons for pattern recognition and computing"
    - "vertex coloring of graphs via phase dynamics of coupled oscillatory networks"
    - "hybrid spintronic cmos spiking neural network with on chip learning devices circuits and systems"
    - "magnetic tunnel junction mimics stochastic cortical spiking neurons"
    - "spin orbit torque induced spike timing dependent plasticity"
    - "stt snn a spin transfer torque based soft limiting non linear neuron for low power artificial neural networks"
    - "spin orbit torque based electronic neuron"

Connected through hyperedge HE-4 (induced by source paper "ratatoskr an open source framework for in depth power performance and area analysis in 3d nocs"):
  with members:
    - "nocs in heterogeneous 3d socs co design of routing strategies and microarchitectures"
    - "eyeriss v2 a flexible and high performance accelerator for emerging deep neural networks"
    - "eyeriss v2 a flexible accelerator for emerging deep neural networks on mobile devices"

Connected through hyperedge HE-5 (induced by source paper "classic versus modern computing analogies with classic versus modern physics"):
  with members:
    - "how amdahl s low restricts supercomputer applications and building ever bigger supercomputers"

Connected through hyperedge HE-6 (induced by source paper "exploiting errors for efficiency a survey from circuits to algorithms"):
  with members:
    - "incremental color quantization for color vision deficient observers using mobile gaming data"
    - "probabilistic value deviation bounded integer codes for approximate communication"
    - "in datacenter performance analysis of a tensor processing unit"
    - "mobilenets efficient convolutional neural networks for mobile vision applications"
    - "squeezenet alexnet level accuracy with 50x fewer parameters and 0 5mb model size"
    - "reconfiguring the imaging pipeline for computer vision"
    - "matic learning around errors for efficient low voltage neural network accelerators"
    - "sound mixed precision optimization with rewriting"

Connected through hyperedge HE-7 (induced by source paper "obfuscating the interconnects low cost and resilient full chip layout camouflaging"):
  with members:
    - "design automation for obfuscated circuits with multiple viable functions"
    - "physical design obfuscation of hardware a comprehensive investigation of device and logic level techniques"
    - "threshold dependent camouflaged cells to secure circuits against reverse engineering attacks"

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.ET(Emerging Technologies)