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: "migrantstore leveraging virtual memory in dram pcm memory architecture"
  Abstract: With the imminent slowing down of DRAM scaling, Phase Change Memory (PCM) is emerging as a lead alternative for main memory technology. While PCM achieves low energy due to various technology-specific advantages, PCM is significantly slower than DRAM (especially for writes) and can endure far fewer writes before wearing out. Previous work has proposed to use a large, DRAM-based hardware cache to absorb writes and provide faster access. However, due to ineffectual caching where blocks are evicted before sufficient number of accesses, hardware caches incur significant overheads in energy and bandwidth, two key but scarce resources in modern multicores. Because using hardware for detecting and removing such ineffectual caching would incur additional hardware cost and complexity, we leverage the OS virtual memory support for this purpose. We propose a DRAM-PCM hybrid memory architecture where the OS migrates pages on demand from the PCM to DRAM. We call the DRAM part of our memory as MigrantStore which includes two ideas. First, to reduce the energy, bandwidth, and wear overhead of ineffectual migrations, we propose migration hysteresis. Second, to reduce the software overhead of good replacement policies, we propose recently- accessed-page-id (RAPid) buffer, a hardware buffer to track the addresses of recently-accessed MigrantStore pages.

Connected through hyperedge HE-1 (induced by source paper "energy saving techniques for phase change memory pcm"):
  with members:
    - "dynamic cache reconfiguration based techniques for improving cache energy efficiency"

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)