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: "targetdp an abstraction of lattice based parallelism with portable performance"
  Abstract: Abstract-To achieve high performance on modern computers,it is vital to map algorithmic parallelism to that inherent inthe hardware. From an application developer's perspective, itis also important that code can be maintained in a portablemanner across a range of hardware. Here we present targetDP(target Data Parallel), a lightweight programming layer thatallows the abstraction of data parallelism for applications thatemploy structured grids. A single source code may be used totarget both thread level parallelism (TLP) and instruction levelparallelism (ILP) on either SIMD multi-core CPUs or GPUacceleratedplatforms. targetDP is implemented via standard Cpreprocessor macros and library functions, can be added toexisting applications incrementally, and can be combined withhigher-level paradigms such as MPI. We present CPU and GPUperformance results for a benchmark taken from the latticeBoltzmann application that motivated this work. These demonstratenot only performance portability, but also the optimisationresulting from the intelligent exposure of ILP.

Connected through hyperedge HE-1 (induced by source paper "a lightweight approach to performance portability with targetdp"):
  with members:
    - "occa a unified approach to multi threading languages"

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)