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 "measuring the impact of spectre and meltdown"):
  Abstract: The Spectre and Meltdown flaws in modern microprocessors represent a new class of attacks that have been difficult to mitigate. The mitigations that have been proposed have known performance impacts. The reported magnitude of these impacts varies depending on the industry sector and expected workload characteristics. In this paper, we measure the performance impact on several workloads relevant to HPC systems. We show that the impact can be significant on both synthetic and realistic workloads. We also show that the performance penalties are difficult to avoid even in dedicated systems where security is a lesser concern.

Includes members:
  Member "the lustre storage architecture":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "ai enabling technologies a survey")
  Member "performance measurements of supercomputing and cloud storage solutions":
    also connected through other hyperedges:
      (none)
  Member "enhancing hpc security with a user based firewall":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "securing hpc using federated authentication")
  Member "enabling on demand database computing with mit supercloud database management system":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "ai enabling technologies a survey")
  Member "d4m bringing associative arrays to database engines":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "ai enabling technologies a survey")
  Member "achieving 100 000 000 database inserts per second using accumulo and d4m":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "75 000 000 000 streaming inserts second using hierarchical hypersparse graphblas matrices")
  Member "computing on masked data a high performance method for improving big data veracity":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "securing hpc using federated authentication")
  Member "d4m 2 0 schema a general purpose high performance schema for the accumulo database":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "securing hpc using federated authentication")

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.DC(Distributed, Parallel, and Cluster Computing)