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 "learning based dynamic pinning of parallelized applications in many core systems"):
  Abstract: This paper introduces a reinforcement-learning based resource allocation framework for dynamic placement of threads of parallel applications to Non-Uniform Memory Access (NUMA) many-core systems. We propose a two-level learning-based decision making process, where at the first level each thread independently decides on which group of cores (NUMA node) it will execute, and on the second level it decides to which particular core from the group it will be pinned. Additionally, a novel performance-based learning dynamics is introduced to handle measurement noise and rapid variations in the performance of the threads. Experiments on a 24-core system show the improvement of up to 16% in the execution time of parallel applications under our framework, compared to the Linux operating system scheduler.

Includes members:
  Member "measurement based efficient resource allocation with demand side adjustments":
    also connected through other hyperedges:
      (none)
  Member "an evolutionary stochastic local search framework for one dimensional cutting stock problems":
    also connected through other hyperedges:
      (none)
  Member "stochastic stability of perturbed learning automata in positive utility games":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "aspiration based perturbed learning automata")
  Member "efficient dynamic pinning of parallelized applications by distributed reinforcement learning":
    also connected through other hyperedges:
      (none)
  Member "aspiration learning in coordination games":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "volunteers in the smart city comparison of contribution strategies on human centered measures")
  Member "on the structure of weakly acyclic games":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "coordination games on weighted directed graphs")

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)