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: "faster linearizability checking via p compositionality"
  Abstract: Linearizability is a well-established consistency and correctness criterion for concurrent data types. An important feature of linearizability is Herlihy and Wing's locality principle, which says that a concurrent system is linearizable if and only if all of its constituent parts (so-called objects) are linearizable. This paper presents $P$-compositionality, which generalizes the idea behind the locality principle to operations on the same concurrent data type. We implement $P$-compositionality in a novel linearizability checker. Our experiments with over nine implementations of concurrent sets, including Intel's TBB library, show that our linearizability checker is one order of magnitude faster and/or more space efficient than the state-of-the-art algorithm.

Connected through hyperedge HE-1 (induced by source paper "pointer life cycle types for lock free data structures with memory reclamation"):
  with members:
    - "hyaline fast and transparent lock free memory reclamation"
    - "decoupling lock free data structures from memory reclamation for static analysis"
    - "safe deferred memory reclamation with types"
    - "reasoning about tso programs using reduction and abstraction"
    - "reclaiming memory for lock free data structures there has to be a better way"
    - "proving linearizability using forward simulations"
    - "verifying concurrent stacks by divergence sensitive bisimulation"
    - "effect summaries for thread modular analysis"

Connected through hyperedge HE-2 (induced by source paper "decoupling lock free data structures from memory reclamation for static analysis"):
  with members:
    - "verification of tree based hierarchical read copy update in the linux kernel"
    - "reclaiming memory for lock free data structures there has to be a better way"
    - "proving linearizability using forward simulations"
    - "verifying concurrent stacks by divergence sensitive bisimulation"
    - "effect summaries for thread modular analysis"
    - "concurrent data structures linked in time"
    - "pointer race freedom"
    - "verifying linearizability a comparative survey"

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)