human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "taming weak memory models"):
  Abstract: Speculative techniques in microarchitectures relax various dependencies in programs, which contributes to the complexity of (weak) memory models. We show using WMM, a new weak memory model, that the model becomes simpler if it includes load-value speculation and thus, does not enforce any dependency! However, in the absence of good value-prediction techniques, a programmer may end up paying a price for the extra fences. Thus, we also present WMM-D, which enforces the dependencies captured by the current microarchitectures. WMM-D is still much simpler than other existing models. We also show that non-atomic multi-copy stores arise as a result of sharing write-through caches. We think restricting microarchitectures to write-back caches (and thus simpler weak memory models) will not incur any performance penalty. Nevertheless, we present WMM-S, another extension to WMM, which could model the effects of non-atomic multi-copy stores. WMM, WMM-D, and WMM-S are all defined using Instantaneous Instruction Execution (I^2E), a new way of describing memory models without explicit reordering or speculative execution.

Includes members:
  Member "herding cats modelling simulation testing and data mining for weak memory":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "realitycheck bringing modularity hierarchy and abstraction to automated microarchitectural memory consistency verification")
  Member "software verification for weak memory via program transformation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "thread modular static analysis for relaxed memory models")

Question: Please tell me which class the source paper 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)