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: "alpaka an abstraction library for parallel kernel acceleration"
  Abstract: Porting applications to new hardware or programming models is a tedious and error prone process. Every help that eases these burdens is saving developer time that can then be invested into the advancement of the application itself instead of preserving the status-quo on a new platform. The Alpaka library defines and implements an abstract hierarchical redundant parallelism model. The model exploits parallelism and memory hierarchies on a node at all levels available in current hardware. By doing so, it allows to achieve platform and performance portability across various types of accelerators by ignoring specific unsupported levels and utilizing only the ones supported on a specific accelerator. All hardware types (multi-and many-core CPUs, GPUs and other accelerators) are supported for and can be programmed in the same way. The Alpaka C++ template interface allows for straightforward extension of the library to support other accelerators and specialization of its internals for optimization. Running Alpaka applications on a new (and supported) platform requires the change of only one source code line instead of a lot of #ifdefs.

Connected through hyperedge HE-1 (induced by source paper "evaluation of performance portability frameworks for the implementation of a particle in cell code"):
  with members:
    - "tuning and optimization for a variety of many core architectures without changing a single line of implementation code using the alpaka library"
    - "performance portable many core plasma simulations porting picongpu to openpower and beyond"
    - "likwid a lightweight performance oriented tool suite for x86 multicore environments"
    - "likwid a lightweight performance oriented tool suite for x86 multicore environments"

Connected through hyperedge HE-2 (induced by source paper "on the scalability of data reduction techniques in current and upcoming hpc systems from an application perspective"):
  with members:
    - "significantly improving lossy compression for scientific data sets based on multidimensional prediction and error controlled quantization"
    - "performance portable many core plasma simulations porting picongpu to openpower and beyond"
    - "in situ steerable hardware independent and data structure agnostic visualization with isaac"

Connected through hyperedge HE-3 (induced by source paper "tuning and optimization for a variety of many core architectures without changing a single line of implementation code using the alpaka library"):
  with members:
    - "performance portable many core plasma simulations porting picongpu to openpower and beyond"

Connected through hyperedge HE-4 (induced by source paper "dash a c pgas library for distributed data structures and parallel algorithms"):
  with members:
    - "leveraging mpi 3 shared memory extensions for efficient pgas runtime systems"
    - "dart mpi an mpi based implementation of a pgas runtime system"

Connected through hyperedge HE-5 (induced by source paper "in situ steerable hardware independent and data structure agnostic visualization with isaac"):
  with members:
    - "performance portable many core plasma simulations porting picongpu to openpower and beyond"

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)