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: "an openshmem implementation for the adapteva epiphany coprocessor"
  Abstract: This paper reports the implementation and performance evaluation of the OpenSHMEM 1.3 specification for the Adapteva Epiphany architecture within the Parallella single-board computer. The Epiphany architecture exhibits massive many-core scalability with a physically compact 2D array of RISC CPU cores and a fast network-on-chip (NoC). While fully capable of MPMD execution, the physical topology and memory-mapped capabilities of the core and network translate well to Partitioned Global Address Space (PGAS) programming models and SPMD execution with SHMEM.

Connected through hyperedge HE-1 (induced by source paper "a distributed shared memory model and c templated meta programming interface for the epiphany risc array processor"):
  with members:
    - "opencl openshmem hybrid programming model for the adapteva epiphany architecture"
    - "implementing openshmem for the adapteva epiphany risc array processor"
    - "advances in run time performance and interoperability for the adapteva epiphany coprocessor"
    - "programming the adapteva epiphany 64 core network on chip coprocessor"
    - "kickstarting high performance energy efficient manycore architectures with epiphany"

Connected through hyperedge HE-2 (induced by source paper "i can has supercomputer a novel approach to teaching parallel and distributed computing concepts using a meme based programming language"):
  with members:
    - "advances in run time performance and interoperability for the adapteva epiphany coprocessor"
    - "kickstarting high performance energy efficient manycore architectures with epiphany"

Connected through hyperedge HE-3 (induced by source paper "opencl openshmem hybrid programming model for the adapteva epiphany architecture"):
  with members:
    - "programming the adapteva epiphany 64 core network on chip coprocessor"
    - "kickstarting high performance energy efficient manycore architectures with epiphany"

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)