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: "weak memory models with matching axiomatic and operational definitions"
  Abstract: Memory consistency models are notorious for being difficult to define precisely, to reason about, and to verify. More than a decade of effort has gone into nailing down the definitions of the ARM and IBM Power memory models, and yet there still remain aspects of those models which (perhaps surprisingly) remain unresolved to this day. In response to these complexities, there has been somewhat of a recent trend in the (general-purpose) architecture community to limit new memory models to being (multicopy) atomic: where store values can be read by the issuing processor before being advertised to other processors. TSO is the most notable example, used in the past by IBM 370 and SPARC-TSO, and currently used in x86. Recently (in March 2017) ARM has also switched to a multicopy atomic memory model, and the new RISC-V ISA and recent academic proposals such as WMM are pushing to do the same. #R##N#In this paper, we show that when memory models are atomic, it becomes much easier to produce axiomatic definitions, operational definitions, and proofs of equivalence than doing the same under non-atomic models. The increased ease with which these definitions can be produced in turn allows architects to build processors much more confidently, and yet the relaxed nature of the models we propose still allows most or all of the performance of non-atomic models to be retained. In fact, in this paper, we show that atomic memory models can be defined in a way that is parametrized by basic instruction and fence orderings. Our operational vs. axiomatic equivalence proofs, which are likewise parameterized, show that the operational model is sound with respect to the axioms and that the operational model is complete: that it can show any behavior permitted by axiomatic model.

Connected through hyperedge HE-1 (induced by source paper "constructing a weak memory model"):
  with members:
    - "weak memory models balancing definitional simplicity and implementation flexibility"
    - "tricheck memory model verification at the trisection of software hardware and isa"
    - "overhauling sc atomics in c11 and opencl"
    - "herding cats modelling simulation testing and data mining for weak memory"

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.PL(Programming Languages)