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: "asic based implementation of synchronous section carry based carry lookahead adders"
  Abstract: The section-carry based carry lookahead adder (SCBCLA) topology was proposed as an improved high-speed alternative to the conventional carry lookahead adder (CCLA) topology in previous works. Self-timed and FPGA-based implementations of SCBCLAs and CCLAs were considered earlier, and it was found that SCBCLAs could help in delay reduction i.e. pave the way for improved speed compared to CCLAs at the expense of some increase in area and/or power parameters. In this work, we consider semi-custom ASIC-based implementations of different variants of SCBCLAs and CCLAs to perform 32-bit dual-operand addition. Based on the simulation results for 32-bit dual-operand addition obtained by targeting a high-end 32/28nm CMOS process, it is found that an optimized SCBCLA architecture reports a 9.8% improvement in figure-of-merit (FOM) compared to an optimized CCLA architecture, where the FOM is defined as the inverse of the product of power, delay, and area. It is generally inferred from the simulations that the SCBCLA architecture could be more beneficial compared to the CCLA architecture in terms of the design metrics whilst benefitting a variety of computer arithmetic operations involving dual-operand and/or multi-operand additions. Also, it is observed that heterogeneous CLA architectures tend to fare well compared to homogeneous CLA architectures, as substantiated by the simulation results.

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.AR(Hardware Architecture)