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: "public cluster parallel machine with multi block approach"
  Abstract: We introduce a new approach to enable an open and public parallel machine which is accessible for multi users with multi jobs belong to different blocks running at the same time. The concept is required especially for parallel machines which are dedicated for public use as implemented at the LIPI Public Cluster. We have deployed the simplest technique by running multi daemons of parallel processing engine with different configuration files specified for each user assigned to access the system, and also developed an integrated system to fully control and monitor the whole system over web. A brief performance analysis is also given for Message Parsing Interface (MPI) engine. It is shown that the proposed approach is quite reliable and affect the whole performances only slightly.

Connected through hyperedge HE-1 (induced by source paper "grid architecture through a public cluster"):
  with members:
    - "real time control and monitoring system for lipi s public cluster"
    - "resource allocation in public cluster with extended optimization algorithm"
    - "open and free cluster for public"
    - "web based interface in public cluster"

Connected through hyperedge HE-2 (induced by source paper "multi and independent block approach in public cluster"):
  with members:
    - "real time control and monitoring system for lipi s public cluster"
    - "resource allocation in public cluster with extended optimization algorithm"
    - "open and free cluster for public"

Connected through hyperedge HE-3 (induced by source paper "web based interface in public cluster"):
  with members:
    - "resource allocation in public cluster with extended optimization algorithm"
    - "multi and independent block approach in public cluster"
    - "open and free cluster for public"

Connected through hyperedge HE-4 (induced by source paper "real time control and monitoring system for lipi s public cluster"):
  with members:
    - "open and free cluster for public"
    - "web based interface in public cluster"

Connected through hyperedge HE-5 (induced by source paper "resource allocation in public cluster with extended optimization algorithm"):
  with members:
    - "open and free cluster for public"
    - "web based interface in public cluster"

Connected through hyperedge HE-6 (induced by source paper "open and free cluster for public"):
  with members:
    - "real time control and monitoring system for lipi s public cluster"
    - "web based interface in public cluster"

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)