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 "real time topological image smoothing on shared memory parallel machines"):
  Abstract: Smoothing filter is the method of choice for image#R##N#preprocessing and pattern recognition. We present a#R##N#new concurrent method for smoothing 2D object in#R##N#binary case. Proposed method provides a parallel#R##N#computation while preserving the topology by using#R##N#homotopic transformations. We introduce an adapted#R##N#parallelization strategy called split, distribute and#R##N#merge (SDM) strategy which allows efficient#R##N#parallelization of a large class of topological#R##N#operators including, mainly, smoothing,#R##N#skeletonization, and watershed algorithms. To achieve#R##N#a good speedup, we cared about task scheduling.#R##N#Distributed work during smoothing process is done by#R##N#a variable number of threads. Tests on 2D binary#R##N#image (512*512), using shared memory parallel#R##N#machine (SMPM) with 8 CPU cores (2× Xeon E5405#R##N#running at frequency of 2 GHz), showed an#R##N#enhancement of 5.2 thus a cadency of 32 images per#R##N#second is achieved.

Includes members:
  Member "parallel image thinning through topological operators on shared memory parallel machines":
    also connected through other hyperedges:
      (none)
  Member "on topological watersheds":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a graph based mathematical morphology reader")

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)