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: "performance implications of nocs on 3d stacked memories insights from the hybrid memory cube"
  Abstract: Three-dimensional (3D)-stacked memories, such as the Hybrid Memory Cube (HMC), provide a promising solution for overcoming the bandwidth wall between processors and memory by integrating memory and logic dies in a single stack. Such memories also utilize a network-on-chip (NoC) to connect their internal structural elements and to enable scalability. This novel usage of NoCs enables numerous benefits such as high bandwidth and memory-level parallelism and creates future possibilities for efficient processing-in-memory techniques. However, the implications of such NoC integration on the performance characteristics of 3D-stacked memories in terms of memory access latency and bandwidth have not been fully explored. This paper addresses this knowledge gap (i) by characterizing an HMC prototype using Micron's AC-510 accelerator board and by revealing its access latency and bandwidth behaviors; and (ii) by investigating the implications of such behaviors on system- and software-level designs. Compared to traditional DDR-based memories, our examinations reveal the performance impacts of NoCs for current and future 3D-stacked memories and demonstrate how the packet-based protocol, internal queuing characteristics, traffic conditions, and other unique features of the HMC affects the performance of applications.

Connected through hyperedge HE-1 (induced by source paper "wrangling rogues managing experimental post moore architectures"):
  with members:
    - "basic performance measurements of the intel optane dc persistent memory module"
    - "programming strategies for irregular algorithms on the emu chick"
    - "a microbenchmark characterization of the emu chick"
    - "demystifying the characteristics of 3d stacked memories a case study for hybrid memory cube"
    - "mathematical foundations of the graphblas"

Connected through hyperedge HE-2 (induced by source paper "coda enabling co location of computation and data for multiple gpu systems"):
  with members:
    - "demystifying the characteristics of 3d stacked memories a case study for hybrid memory cube"
    - "drama exploiting dram addressing for cross cpu attacks"

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)