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 "exploring scientific application performance using large scale object storage"):
  Abstract: One of the major performance and scalability bottlenecks in large scientific applications is parallel reading and writing to supercomputer I/O systems. The usage of parallel file systems and consistency requirements of POSIX, that all the traditional HPC parallel I/O interfaces adhere to, pose limitations to the scalability of scientific applications. Object storage is a widely used storage technology in cloud computing and is more frequently proposed for HPC workload to address and improve the current scalability and performance of I/O in scientific applications. While object storage is a promising technology, it is still unclear how scientific applications will use object storage and what the main performance benefits will be. This work addresses these questions, by emulating an object storage used by a traditional scientific application and evaluating potential performance benefits. We show that scientific applications can benefit from the usage of object storage on large scales.

Includes members:
  Member "sage percipient storage for exascale data centric computing":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "umap enabling application driven optimizations for page management")
  Member "mpi windows on storage for hpc applications":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "sage percipient storage for exascale data centric computing")
  Member "the sage project a storage centric approach for exascale computing":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "multi gpu acceleration of the ipic3d implicit particle in cell code")
  Member "daos for extreme scale systems in scientific applications":
    also connected through other hyperedges:
      (none)
  Member "exploring the performance benefit of hybrid memory system on hpc environments":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "performance impact of memory channels on sparse and irregular algorithms")
  Member "exploring application performance on emerging hybrid memory supercomputers":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "sage percipient storage for exascale data centric computing")

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)